Instead, they immediately encounter friction. They鈥檙e asked to repeat information they鈥檝e already shared across multiple channels and departments. Then they see an offer for the item they just purchased, rather than something similar or new. And when they encounter an issue down the line, customer support doesn鈥檛 recognize their history.

Micro moments like these do not feel minor to customers anymore. They feel inexcusable. Customer expectations have changed faster than most brands can keep up. Customers now assume brands know who they are, what they need, and what鈥檚 happening right now. And they expect brands to act on that knowledge instantly.

At the same time, businesses are embracing a new era of AI. Dubbed “agentic AI,” it represents a paradigm shift where AI doesn鈥檛 just analyze or recommend products, but increasingly plans, decides, and acts through a network of agents. This creates a massive opportunity for customer experience (CX) leaders today, in particular marketers, who, according to McKinsey, are leading in AI adoption amongst business functions. But it also raises the stakes.

Because when AI moves faster than your data, systems, and processes, it exposes everything that鈥檚 broken. That tension鈥攂etween rising expectations and disconnected reality鈥攊s exactly what 麻豆原创 and Google Cloud are addressing together.

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The marketer鈥檚 reality: ambition outpacing execution

According to recent , more than half of marketers say fragmented or outdated data prevents them from acting in the moment. Insights arrive too late. Activation requires manual stitching across tools. And even the best strategies stall before they ever reach customers.

It is clear that most organizations genuinely want to deliver great customer experiences. But fragmentation is what stands in the way of delivering connected, meaningful engagements.

On one side: Customers expect effortless, relevant, and real-time experiences. On the other hand, organizations still operate with fragmented data, siloed teams, and delayed insights.

Our latest reveals that customers are increasingly frustrated: 45% say brands can鈥檛 keep up with changing expectations, and 44% say interactions feel less personal than before.鈥�

AI accelerating the engagement divide 

The disconnect between what customers feel and what businesses believe is the “.” Customer signals live across disconnected systems. Data arrives late or without context. Execution happens separately from insight. And while customers feel this friction immediately, many companies do not realize how disconnected their experiences truly are in their customers’ eyes. Now, AI is accelerating this divide.

Agents can generate content, launch campaigns, and optimize engagement at unprecedented speed. But when those agents act on incomplete, outdated, or fragmented data, they only exacerbate inconsistency and poor customer experiences.

When talking to our customers, it鈥檚 clear that there is no shortage of ambition when it comes to AI. In our research, 78% of brands say AI will be integral to their customer retention efforts this year. But only 46% of brands can connect their data in a way that is accessible to power AI sustainably.

The real challenge for CX leaders today is ensuring that AI has the right foundation: trusted data, unified context, and direct connection to execution.

New model for engagement built on trusted enterprise data

麻豆原创 and Google Cloud are expanding their partnership to enable a fundamentally different approach to marketing execution, one grounded in trusted enterprise data and real-time signals, accelerated with multi-agent coordination, and delivered at scale through 麻豆原创 and Google鈥檚 customer engagement solutions.

麻豆原创 provides both operational truth for elements such as inventory, orders, and fulfillment status, and deep customer knowledge across customer experience interactions. Google Cloud brings additional real-time signals and analytics, along with advanced AI. Combined, they create a shared, real-time understanding of the customer, grounded in business and situational context.

At the heart of this partnership:

• 麻豆原创 Business Data Cloud (麻豆原创 BDC) connects semantically rich data across the enterprise with AI to enable real-time insights and drive personalized interactions grounded in business context. This includes 麻豆原创 Business Data Cloud Connect for Google BigQuery.
• Google BigQuery unlocks real-time signals across the Google ecosystem, such as geolocation, weather, and rich analytics, through bidirectional, zero-copy data access with 麻豆原创 BDC, while ensuring enterprise-grade governance and security.
• 麻豆原创 Customer Experience applications provide the real-time behavioral context 鈥� customer profiles, transactions, orders, service interactions, and consented engagement data.
• 麻豆原创 Engagement Cloud activates enterprise data and AI insights and predictions to securely orchestrate real-time, personalized interactions across the entire customer life cycle.

With these innovations, marketers can finally move from insight to execution automatically.

To realize the full potential of agentic AI, businesses need their systems to speak the same language. By uniting 麻豆原创’s enterprise data and customer engagement platform with Google Cloud’s AI, we鈥檙e enabling marketers to move beyond simple automation to multi-agent orchestration, driving dynamic campaigns that reason and adapt to market shifts in real time.

Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud

From prompt to performance: how agents work together for marketing

Another critical element of this new execution model is agent interoperability. Gemini Enterprise acts as a central hub for multi-agent coordination, enabling  customers鈥� agents to securely exchange context and take action across platforms. Meanwhile, Joule acts as the engagement layer within 麻豆原创 applications, executing tasks, orchestrating campaign and content workflows, and optimizing marketing outcomes. Working together, 麻豆原创 and Google are enabling true multi-agent orchestration connected to trusted enterprise data.

Within this broader CX transformation, 麻豆原创 Engagement Cloud is where agentic intelligence becomes operational for marketing teams. It is the environment where enterprise signals, generative media, and AI agents translate into real customer interactions and automated lifecycle journeys.

Advanced generative capabilities powered by Google Gemini models, for example, Nano Banana 2, introduce new agentic skills that help CX teams dynamically generate messaging, imagery, and campaign variations. Through assistants and agents in Joule, these capabilities become embedded directly into marketing workflows, allowing brands to adjust tone, localize content, and respond instantly to changing conditions.

It is not just content generation and personalization that are being rewired. With unified data context and interoperable agents, mobile messaging can turn into immersive conversational experiences with Google Rich Communication Services (RCS) and advertising audiences, and creative, which can continuously evolve based on real-time performance and business signals, transforming campaigns into intelligent, self-optimizing systems.

And through this multi-agent network, marketers will not need to build every step of a campaign manually. Instead, they define the goal, gain more time to focus on strategy and creativity, and let agents handle the rest.

For example, a marketer can prompt:

• 鈥淚ncrease repeat purchases from customers in the last 30 days.鈥�
• 鈥淢aximize customer lifetime value while reducing campaign operational costs.鈥�

And from there:

• Joule Agents coordinate content production, grounded in customer and enterprise data, understand business context, customer history, and constraints
• Google鈥檚 Gemini Models and agents generate creative variations, messaging, and channel-specific content
• Agents collaborate across 麻豆原创 and Google Cloud to personalize, activate, and continuously optimize campaigns in real time across engagement channels and media networks

This is more than a data integration. It鈥檚 a leap forward for AI agents that can collaborate naturally and execute seamlessly. By combining 麻豆原创 Business Data Cloud Connect for Google with interoperable AI agents across 麻豆原创 and Google, we鈥檙e giving organizations a path from AI experimentation to AI-empowered customer experience at scale. Marketers can spend less time on manual tasks and more time shaping the customer journey.

Balaji Balasubramanian, President and Chief Product Officer, 麻豆原创 Customer Experience and Consumer Industries

Clear business outcomes for marketing teams

By enabling a network of interoperable AI agents and grounding them in enterprise data and shared context across 麻豆原创 and Google, organizations can achieve measurable outcomes, including:

• Faster speed-to-market through autonomous campaign and content generation
• Lower operational overhead by eliminating manual execution steps
• Always鈥憃n optimization that continuously improves performance
• Higher ROI through relevant, timely, and consistent engagement at scale

Marketers can spend less time managing workflows and more time shaping strategy, creative direction, and customer value.

Beyond campaigns: continuous engagement at enterprise scale

While marketing is a natural starting point, this is just the beginning. Customer engagement does not live in one system or team. Engagement spans commerce, service, sales, supply chain, and operations. A brand promise made in a message must be fulfilled by inventory. A personalized offer depends on pricing, availability, and delivery. And a single customer service interaction can shape the future of customer loyalty and lifetime value.

This multi-agent model is designed to support high-value use cases across the 麻豆原创 Customer Experience portfolio, laying the foundation for an AI-driven customer experience powered by trusted, unified, real-timedata.

In an AI-driven world, customer experience goes beyond any single interaction鈥攊t’s defined by every touchpoint a customer has with your company.

A great way to break through that roadblock is to listen to leaders who jumped in early to use AI to transform outcomes. , a managing director of Finance in the Global IT division at Accenture, is one of those people.

The professional solutions and services company employs nearly 780,000 employees across 52 countries, who work with 350 partners to serve over 9,000 clients. The idea of transformation at Accenture鈥檚 scale might be intimidating to some, but not Lambert. He鈥檚 leading an听ongoing transformation听of Accenture鈥檚 finance function, which he calls 鈥渢he heartbeat鈥� of the company.

The results he鈥檚 achieved鈥� including saving the finance team a combined 57,000 hours annually by having AI generate narrative summaries for reporting鈥攕hine a spotlight on what鈥檚 possible. And he鈥檚 just getting started.

I had a chance to speak with him about how he became a leader in AI-driven transformation, and what others can learn from his achievements. This is a lightly edited version of our conversation

Q: As you know, innovating with AI is about reshaping how a business delivers value. But not every business leader is leading the charge. Some are watching and waiting. Why did you roll up your sleeves and decide to be on the forefront?

A: Taking a leadership position on AI is important to keep moving forward and shaping new services and capabilities. For example, across a company our size, even though we鈥檙e hyper focused on emerging technologies, we can find small problems across our technology landscape. There are processes and data living in different places and silos develop over time. Most large companies have this challenge. But those are valuable processes, and the business data we have is especially valuable. AI opens up new opportunities to bridge those gaps and deliver more end-to-end outcomes, so that our finance function can meet the growing business expectations of our stakeholders.

For many companies, the key to getting impactful results from business AI is to start with one function that鈥檚 central to business performance. Why was finance the right place for you to begin, and what did you want to achieve?

I always say finance is the heartbeat of our organization. I heard one of our global IT leaders use that phrase, and while it was inspirational, it also made me think, 鈥淟et鈥檚 not accidentally cause a heart attack for the organization.鈥�

Jokes aside; he was right. Your transactional and operational data flows through finance, and management decisions sit on top of it. Starting there gave us the ability to make end-to-end impact across processes that touch procurement, liquidity, forecasting, receivables, and more. And 麻豆原创 gives us a digital core where all that transactional data is harmonized.

The bottom line is that finance is the natural starting point if you want to move from reactive reporting toward more proactive, AI-driven insights that you can use to help move the business forward. So, we set out to unify data and transform finance processes in a way that scales across the whole value chain.

Cash and liquidity are so important in the finance function, and to an entire company. But managing it requires bringing together data, forecasting, and decision-making across many teams. How did AI help?

If finance is the heartbeat of a company, cash and liquidity are the lifeblood of your systems. Here鈥檚 a great example: Accenture engages in a lot of acquisitions, and we run operational cash in 50-plus countries, so it鈥檚 easy for decisions to default to historical, manual reviews. That鈥檚 what was happening at Accenture before a forward-thinking leader stopped by and asked if we could apply machine learning to the problem. Great leaders often ask great questions, and that one really got us thinking.

[AI] freed up 20% of our idle cash, which we could then move into global operations to fund acquisitions and strategic growth.

Eli Lambert

We took inspiration from retail: how stores treat inventory based on discounts and sales. If you treat cash like stock, you can apply those same learning models to figure out how much you really need to hold onto at any point in time. That鈥檚 how we built what we call 鈥淚ntelligent Cash.鈥� It brings all the business data together into a single data mart, a repository for structured data for a specific department or line of business, and uses machine learning to generate recommendations that our teams can act on.

AI is so good at this, and here鈥檚 what鈥檚 incredible: It freed up 20% of our idle cash, which we could then move into global operations to fund acquisitions and strategic growth. Now what used to take months, or even more than a year to build, we can now do it in days or weeks because 麻豆原创鈥檚 data cloud brings [麻豆原创] Datasphere, Databricks, and our machine-learning workloads into one place. The result is faster decision-making, better visibility, and much more accurate forecasting.

I love hearing about how you were able to use gains, delivered through strategic AI innovation, and then channel those gains into a high-value activity for the organization.听 I know you also worked on receivables, something that impacts cash flow and customer relationships. What pain points did you face, and how did automation and machine learning transform the process?

Receivables were highly manual compared to payables. Clearing was inconsistent, and reconciliation took a lot of time because payments often come incomplete or with partial data. Anyone who works in or near finance knows exactly what I鈥檓 talking about. So, we co-developed on the 麻豆原创 platform a machine-learning-based receivables solution. It more than doubled the automation rate for receivables processing and tripled automatic reconciliation, about a 300% improvement.

As part of that, we introduced high-confidence, one-click matching recommendations that reduce errors and cut down the manual work. We saw a seven percent uplift in auto-clearing with a cash application scheduler built on the 麻豆原创 platform that delivers matches about 77% faster. All of that adds up to a more efficient receivables process, improved cash-flow visibility, and better productivity for the team.

In a global organization like Accenture, reconciling financial data and surfacing meaningful insights can be a huge amount of work. You turned to generative AI to help, which is really smart. What led you to that approach, and how is it changing your team鈥檚 day-to-day experiences?

We were dealing with balance sheet reconciliations across 50-plus countries, and the process was decentralized. I know a lot of companies face this problem. So, first, we moved everything online. Then we brought in machine learning and generative AI to analyze cost categories, summarize data, and surface important shifts.

[Our] Intelligent Financial Advisor, built on the 麻豆原创 platform, can generate narrative commentaries that are so accurate that over 90% are simply approved with little or no revision. That鈥檚 saved about 57,000 hours globally. Our teams can focus on higher-value analysis instead of manual reconciliation.

Eli Lambert

We then deployed an Intelligent Financial Advisor built on the 麻豆原创 platform that can generate narrative commentaries that are so accurate that over 90% are simply approved with little or no revision. That鈥檚 saved about 57,000 hours globally, just in controllership work, and helped us move to a three-day global close instead of five. The insights come faster and clearer, and the teams can focus on higher-value analysis instead of manual reconciliation. It鈥檚 also helping create more consistent roll-ups across regions and letting us use our talent more strategically.

I鈥檓 hearing this theme of not only measurable business gains from outputs, but the ability to better allocate time from manual, rote tasks to ones that deliver far more value for the business. That also applies to planning and forecasting. How did you bring AI into that part of the finance function?

Our planning work had grown too complex. Remember, we鈥檙e a large-scale, multifaceted global business. So, we replaced old models with 麻豆原创 Analytics Cloud, which gives us multi-year planning models enhanced by AI.

We applied it first to merger and acquisition modeling, where accuracy really matters. It lets us model very complex data sets and helps our finance team collaborate more easily across the business. The results have been more accurate forecasts, reduced risk of errors, and much better collaboration between executives and practitioners. Early results were strong, and that encouraged us to expand AI use in planning more broadly.

What advice do you have for leaders who are not as far along in using AI to supercharge business results?

First, start with a high-impact function tied to real outcomes. Then focus early on data quality and harmonization; it鈥檚 the foundation for everything that comes after. Then get your cadence right and your team working together. Hone in on the use cases that really matter to you鈥攖he best vendors can help you identify those鈥攁nd make sure to get the help you need from those vendors and their partners.

Use AI to spur growth. At Accenture, we鈥檝e been able to use AI to save significant cash in one area, which we then invest in another, high-growth process鈥攁cquisitions in our case. That鈥檚 how you use AI to really rethink your business and move it to the next level.

Eli Lambert, on advice to other enterprises

As you go, take a crawl-walk-run approach: start slow then increase the pace of scale and adoption over time. Be sure to invest in change management and upskilling as you go to spur learning and adoption. And partner closely with technology providers and system integrators who鈥檝e been there before. That accelerates everything.

The final suggestion I have is to use AI to spur growth. At Accenture, we鈥檝e been able to use AI to save significant cash in one area, which we then invest in another, high-growth process鈥攁cquisitions in our case. That鈥檚 how you use AI to really rethink your business and move it to the next level. And that鈥檚 possible today in ways that were not, even five years ago. Seize that opportunity.

I couldn鈥檛 agree more with Lambert. AI really does provide an opportunity to re-imagine entire business processes for greater impact.

To keep exploring what鈥檚 possible, at Accenture. Then see more AI use cases in and across all your , including procurement, supply chain, manufacturing, and more.

Brenda Bown is chief marketing officer for 麻豆原创 Business AI.

ANYbotics, a Swiss robotics company, has stepped into this space with a vision to shape a safer future for industrial inspection, one where robots operate as autonomous members of the inspection team, running inspection operations integrated into plant maintenance workflows.听

This vision is embodied in the company鈥檚 鈥淎NYmal鈥�: a four-legged inspection robot designed specifically for heavy industry.

Unlike general-purpose robotics platforms, ANYmal is engineered to operate in 鈥渂ig, dirty, dusty, and dangerous鈥� environments, says Nicole Zingg, director of Technology Partnerships at ANYbotics. Places where stairs, corrosion, heat, and unreliable connectivity are the norm, not the exception.

But hardware, Zingg says, is only one part of the puzzle that makes ANYmal indispensable to customers.

Inspection robotics is about data

鈥淲e build a hardware platform,鈥� Zingg explains, 鈥渂ut inspection robotics is really about data that is consistent and trustworthy.鈥�

ANYmal autonomously navigates industrial sites to collect data that goes beyond what a human can collect alone. Beyond just visual inspection, its sensors also collect multi-modal data, including thermal imaging, ultrasonic leak detection, gas concentration detection, acoustic anomaly detection, and more. The observations are fed into what ANYbotics calls 鈥渋nspection intelligence,鈥� which transforms the collected data into actionable operational insights. The result is higher uptime, longer asset lifecycles, and, most importantly, safer working conditions for humans.

ANYmal can make a huge impact on operations. One offshore wind customer, Zingg says, has used ANYmal to manage all inspections and has eliminated the need to send personnel to a remote platform for months. When human intervention was eventually required, ANYmal鈥檚 data from prior inspections made all the difference. The customer already knew exactly what was wrong, which expert to send, and what equipment to bring鈥攁voiding costly and risky trial-and-error site visits.

Yet for ANYbotics, delivering insights is not enough if those insights are not integrated in the software systems customers use.

鈥溌槎乖� is where ANYbotics needs to be native鈥�

Through extensive user research, ANYbotics discovered that many plant operators, maintenance managers, and field service teams already run their daily operations in 麻豆原创. Work orders, asset histories, performance trends, and decisions all flow through 麻豆原创 systems. 鈥淚f customers are using 麻豆原创, 麻豆原创 is where ANYbotics needs to be native,鈥� Zingg says.

Meanwhile, 麻豆原创鈥檚 Project Embodied AI was looking for robotics companies to partner with. The project focuses on extending the impact of 麻豆原创 Business AI into physical operations by enabling robots to autonomously perform complex tasks with an understanding of the broader business context.

It was clearly a perfect fit and has delivered advantages for both companies.

On the system side, a continuous, unbroken digital thread connects ANYbotics insights from industrial inspections to data in 麻豆原创 systems, helping inform key business and operational decisions across the organization.

For end users, embedding ANYmal directly into familiar 麻豆原创 workflows can also help ease adoption, since introducing robotics into already stretched industrial workforces can trigger anxiety. Concerns about job security, workflow disruption, and complexity are common, but embedding ANYmal directly into familiar 麻豆原创 workflows can help reduce that friction, Zingg explains.

Treating robots as part of the workforce

The first major integration point was听. Rather than sending only human technicians, customers can now dispatch work orders directly to ANYmal as they would to any other field team member. The robot then autonomously executes inspection tasks, gathers data, and reports the results directly back into a company鈥檚 麻豆原创 system.

From there, the integration expanded into asset-related scenarios and is now moving toward broader enablement via 麻豆原创 Business Technology Platform (麻豆原创 BTP), with the goal of allowing robot-generated data to land wherever customers need it in their 麻豆原创 landscape.

The ambition is not to force humans to adapt to robots, but for robots to adapt to human workflows. 鈥淎NYmal has to put data in the 麻豆原创 system, just like human team members,鈥� Zingg notes. ANYmal becomes another worker in the same operational system of record.

Project Embodied AI in practice

This combination of ANYbotics robotic technology with 麻豆原创 bridges the gap between physical operations and enterprise applications and tangibly reflects the goal of Project Embodied AI.

On the 麻豆原创 side, AI agents operate on ANYmal鈥檚 robotic systems to execute physical tasks, such as safety inspections.

On the ANYbotics side, ANYmal is a physical object that moves through space, perceives its environment, and acts within real-world constraints. ANYmal uses 麻豆原创 historic and time-series data to inform decisions while at the same time remaining fully autonomous even in environments with no connectivity.

It鈥檚 important to note, Zingg stresses, that ANYbotics has control over ANYmal鈥檚 behavior and inspection execution, while 麻豆原创 has control over the business context such as work orders, asset data, or operational priorities. It is the 麻豆原创 business context that informs how ANYmal鈥檚 insights are consumed and acted upon while ANYbotics controls ANYmal鈥檚 physical interactions.

Scaling safely and responsibly

Today, more than 200 ANYmal robots are already in productive use worldwide, with inspection deployments in heavy-industry environments that would otherwise require constant human exposure.

Safety remains central to ANYbotics. Each deployment includes extensive testing and an on-site field engineer who helps ANYmal learn and validate its environment and trains customer teams on safe operational procedures. While ANYmal is built to work independently, humans remain firmly in the loop.

A glimpse into the future

As industries face labor shortages and aging workforces, undocumented expertise can all too often be lost. With autonomous inspection robots such as ANYmal, this knowledge is captured and turned into programs that can run day in and day out across multiple sites. The captured data flows into 麻豆原创 to become organizational intelligence that survives any workforce turnover.  

ANYbotics鈥� partnership with 麻豆原创 shows that this combination of robotics and enterprise software is moving swiftly from the experimental stage to real-world implementation.

In the future, industrial inspection will be powered by AI, not as disembodied dashboards or isolated machines, but as an integrated intelligent system where physical robots and digital workflows in 麻豆原创 systems operate as one.

In that future, robots like ANYmal are no longer novelties. They are coworkers, albeit mechanical four-legged ones, quietly extending human capability into places humans were never meant to go. These robots, together with 麻豆原创, are shaping for a future where dirty, dangerous, and dusty industrial inspections are being transformed into business insights.

Top image courtesy of ANYbotics

SafetyGuard was created as part of a program at UTUM鈥檚 Digital Product School鈥攚here teams of selected students work on real-world challenges鈥攊n just 12 weeks by a student team, 鈥淢IDAS,鈥� and 麻豆原创 Research & Innovation. This project illustrates just how effective cross-location collaboration with the ecosystem can be in rapidly creating prototypes as a foundation for product development at 麻豆原创.

Embodied AI: a joint focus of innovation

The objective of this particular prototyping project was to identify use cases in which robotics and AI could be seamlessly integrated into business processes. Based on its research and on user studies, team MIDAS pinpointed the reliable detection and documentation of safety risks as one such use case.

Safety inspections are essential in many industries, but they are often time-consuming and error-prone. SafetyGuard could change that: leveraging embodied AI, it makes inspections faster, more efficient, and more reliable, without increasing the workload for employees.

Embodied AI鈥攖he integration of artificial intelligence into physical robot systems鈥攚ill be a focal point of investment and development work at 麻豆原创 going forward.

SafetyGuard combines two technologies: modular robotics and AI-powered autonomy. In this prototype, robots, such as drones and humanoid systems capable of inspecting work environments without human intervention, are equipped with a specialized AI model that is trained, for example, to detect where protective equipment is missing and to automatically document safety-related incidents. What鈥檚 more, the robots can multitask. While they are carrying out inspections, they can transport materials and monitor machinery鈥攁n approach that combines efficiency gains with increased safety levels.

鈥淪afetyGuard demonstrates just how effective our ecosystem approach is. In this project, an 麻豆原创 team in Potsdam and a group of students in Munich joined forces and very quickly built a prototype that will have a real impact on product development,鈥� Tobias Riasanow, head of Ecosystem Development at 麻豆原创 Labs Germany, says. 鈥淚t鈥檚 the perfect example of what 麻豆原创 understands by 鈥榚cosystem development.鈥欌��

The project is also strategic to 麻豆原创 in that SafetyGuard addresses real-life industry requirements and complements 麻豆原创鈥檚 solutions for environment, health, and safety management. The prototyping approach that led to SafetyGuard could therefore become part of the 麻豆原创 portfolio in the future to help further reduce the time it takes to get from an idea to a product.

Programs with impact

To date, 13 prototypes have been developed for 麻豆原创 under programs run by UTUM, all in close collaboration with product teams at 麻豆原创 and directly related to their respective road maps. The programs offered by UTUM include:

• Innovation Sprint: Here, students have just one week to work on prototypes for solving specific user challenges. The most recent sprint, The Future of Retail with 麻豆原创 Joule, produced five such prototypes, including solutions for intelligent inventory optimization, virtual shelf monitoring, and retail assistance systems.
• Digital Product School: This 12-week program for students is designed as a platform for developing executable software prototypes. One prototype created out of this program was Carbon Data Exchange, which is now part of 麻豆原创 Sustainability Control Tower. Another is an application that makes it easier for developers to access the extensive documentation for 麻豆原创 Field Service Management. Instead of wasting valuable time searching, they can simply type their questions into a chatbot and receive helpful answers, including code examples and direct links to the documentation they need.
• Multistakeholder projects: Additional prototypes have been created in longer-term programs such as Digital Hub Mobility and Circular Republic. Programs like these bring together experts from companies, startups, and research institutions over several months and allow 麻豆原创 to test innovations in real-world customer and partner environments at an early stage in their development.

Co-innovation gets results鈥攆aster

The collaboration between 麻豆原创 and UTUM shows how quickly ideas can lead to tangible results when students, researchers, and 麻豆原创 teams work together to apply scientific approaches to real-life industrial challenges. SafetyGuard is an example of how embodied AI innovations can be created and how different groups of experts can benefit from one another.

鈥淪afetyGuard demonstrates the extensibility of 麻豆原创鈥檚 approach to embodied AI. 麻豆原创鈥檚 embodied AI layer integrates the business context and triggers actions across the suite. SafetyGuard鈥檚 AI-native, manufacturer-agnostic design is scalable across different use cases and enables multitasking, allowing, for example, robots to process safety incidents while performing other tasks such as industrial asset inspections. SafetyGuard is a proof point for 麻豆原创 for the added value of using cognitive robotics in safety scenarios.鈥�

Adelya鈥疐atykhova and Dr.鈥乽kasz鈥疧strowski, Initiators and Supervisors of the student challenge

This first appeared on the German 麻豆原创 News Center.

麻豆原创 has restructured the award recognition to provide more meaningful distinction, reflect our partners鈥� essential contributions, and ensure all award categories align with the Partner Ecosystem Success strategy. The newly created 麻豆原创 Partner Awards replace previous recognition programs, including 麻豆原创 Pinnacle Awards, 麻豆原创 Global LoB Partner Excellence Awards, and 麻豆原创 Regional Partner Excellence Awards.

In-region winners are announced at local kick-off events and regional partner summits in Q1. These partners have proven success in transforming customer business by harnessing cloud and AI technologies aligned with 麻豆原创鈥檚 business strategy. To encourage continued innovation, these partners are recognized for the value they deliver in fostering exceptional customer impact.

Recipients of these prestigious awards are a part of 麻豆原创鈥檚 wide-ranging partner base. Selections are made using system-generated data on key performance indicators and weighted metrics aligned with 麻豆原创鈥檚 communicated business strategies. A steering committee of designated regional representatives review and rank achievements accordingly.

Congratulations to the 2026 winners for this esteemed recognition!

2026 麻豆原创 Partner Awards 鈥� Regional

Recipients by region

Middle and Eastern Europe (MEE)

• Business Transformation Management, Excellence: NTT DATA Business Solutions
• Customer Transformation, Large Enterprise: Deloitte
• Innovative Solution, 麻豆原创 Store: Qualtrics
• Innovative Solution, Solution Extensions: Tricentis
• Managed Service Provider, Top Performance: T-Systems International
• RISE with 麻豆原创 Methodology: Accenture
• 麻豆原创 Business AI, Partner Innovation 鈥� Customer AI Use Case: PwC

Latin America and Caribbean (LAC)

• Customer Transformation, Partner-Led Territories: Seidor
• Customer Transformation, Corporate: Seidor
• Customer Transformation, Large Enterprise: Accenture
• Small Enterprise Growth: Heinsohn
• Delivery Quality: Globant
• Customer Success Management: ADP
• 麻豆原创 Cloud ERP, New Customer Acquisition: Seidor
• 麻豆原创 Cloud ERP, Installed Base Transformation: Seidor
• Rising Star: Kyndryll
• 麻豆原创 Business Data Cloud Success: Solveplan
• 麻豆原创 Business AI, Customer Adoption: Seidor
• Business Transformation Management, Excellence: NumenIT
• 麻豆原创 Business Suite Success: Seidor
• Innovative Solution, 麻豆原创 Store: Fioneer
• Innovative Solution, Solution Extensions: Tricentis
• Procurement Transformation Sales Excellence: Team Eight
• Finance Transformation Sales Excellence: Seidor
• Customer Experience Sales Excellence: Seidor
• Supply Chain Management Sales Excellence: NTT DATA Business Solutions 
• Human Capital Management Sales Excellence: ITGES
• The Best Partner of the Year: Seidor

North America (NA)

• Customer Transformation, Partner-Led Territories: Syntax
• Customer Transformation, Corporate: NTT DATA Business Solutions
• Customer Transformation, Large Enterprise: Accenture
• Small Enterprise Growth: Vision 33
• Delivery Quality: Deloitte
• Customer Success Management: NTT DATA Business Solutions
• 麻豆原创 Cloud ERP, New Customer Acquisition: VistaVu Solutions
• Rising Star: KPMG
• 麻豆原创 Business Data Cloud Success: The Hackett Group
• 麻豆原创 Business AI, Customer Adoption: Accenture
• Business Transformation Management, Excellence: Impriva
• 麻豆原创 Business Suite Success: Cognitus
• 麻豆原创 Store: Redwood
• Innovative Solution, 麻豆原创 Store: Laidon Group
• Partner Solution Success: OpenText
• Innovative Solution, Solution Extensions: Vistex
• Partner Learning and Skills Growth: Deloitte
• RISE with 麻豆原创 Methodology: Accenture

Europe, Middle East, and Africa (EMEA)

• Customer Transformation, Large Enterprise: Accenture
• Delivery Quality: Deloitte
• Partner Learning and Skills Growth: EY
• RISE with 麻豆原创 Methodology: IBM
• 麻豆原创 Business Data Cloud Success: Accenture
• 麻豆原创 Business AI, Customer Adoption: Deloitte
• 麻豆原创 Business Suite Success: Accenture
• 麻豆原创 Business AI, Customer Use Cases: PwC
• 麻豆原创 BTP Extensibility: Capgemini
• Customer Transformation, Corporate: Seidor
• Customer Transformation, Partner-Led Territories: Tano Digital Solutions
• Rising Star: KPMG
• 麻豆原创 Store: Planon
• Partner Solution Success 鈥� Best Solutions Extensions Performance: OpenText
• Innovative Solution Extension 鈥� Growth: BlackLine
• Corporate Social Responsibility: Seidor

Asia Pacific (APAC)

• Customer Transformation, Corporate: PwC
• Customer Transformation, Large Enterprise: Accenture
• Customer Transformation, Partner-Led Territories: NTT DATA Business Solutions
• Delivery Quality: Abeam Consulting
• Partner Learning and Skills Growth: Infosys
• RISE with 麻豆原创 Methodology: Deloitte
• 麻豆原创 Cloud ERP, New Customer Acquisition: Citek Technology Joint Stock Company
• 麻豆原创 Cloud ERP, Installed Base Transformation: PwC
• Rising Star: KPMG
• 麻豆原创 BTP Extensibility with 麻豆原创 Build and Clean Core: Accenture
• 麻豆原创 Business Data Cloud Success: Accenture
• 麻豆原创 Business AI, Partner Innovation 鈥� AI Cloud Application: Deloitte
• 麻豆原创 Business AI, Partner Innovation 鈥� Customer AI Use Case: ASPN CO, LTD.
• 麻豆原创 Business AI, Customer Adoption: EY
• 麻豆原创 Store: Qualtrics
• Business Transformation Management, Excellence: DyFlex Pty Ltd
• 麻豆原创 Business Suite Success: PwC
• Partner Solution Success: OpenText
• Sustainability: Deloitte
• Managed Service Provider, Top Performance: Accenture
• Procurement Transformation Sales Excellence: ABeam Consulting
• Finance Transformation Sales Excellence: PwC
• Customer Experience Sales Excellence: PT Eclectic Consulting
• Supply Chain Management Sales Excellence: PwC
• Human Capital Management Sales Excellence: Deloitte
• Regional Strategic Services Partner: ABeam Consulting

Dina Blasi is a global partner marketing director, leading partner awards and recognition at 麻豆原创.

Over decades, our customers have built powerful digital foundations on 麻豆原创 to run end-to-end business processes across their enterprises鈥攐ften extending and customizing these systems to support their unique business needs. Now, many are entering the next phase of transformation: modernizing their 麻豆原创 landscapes to unlock the full potential of AI.

As companies move to cloud-based 麻豆原创 environments and clean-core architectures, they are preparing to embed intelligence directly into business processes. This enables new forms of automation, with AI agents that operate across enterprise systems and execute increasingly complex tasks.

Modernizing these systems while introducing AI at scale is a significant undertaking. It requires technologies that integrate with existing applications, operate reliably within mission-critical workflows, and meet the governance standards enterprises demand.

That鈥檚 why, over the past few years, we have partnered with to combine advanced AI technology with deep business context. Our goal is to help organizations accelerate modernization and apply AI across the applications and processes key to their success. This collaboration will be showcased at NVIDIA GTC.

Building the foundation for enterprise-grade AI

Through our collaboration with NVIDIA, we are accelerating the entire life cycle of enterprise AI鈥攆rom model development to high-performance runtime execution鈥攁nd powering AI scenarios across our portfolio. ,  which consists of open libraries such as and , helps accelerate large-scale model training across distributed RL environments. It enables teams to build and refine enterprise-grade AI models faster.

Models are hosted through  and , where our customers and partners leverage those best suited to their use cases. microservices optimize inference performance, and we have observed up to a 20% improvement compared to another popular open source serving engine. Enabled by NVIDIA GPUs and NVIDIA NIM, the increased performance allows organizations to combine advanced AI models with trusted 麻豆原创 business data and processes to ensure that AI operates within the workflows that drive business operations.

Modernizing the business logic that runs the enterprise

AI models trained on 麻豆原创 knowledge and accelerated using NVIDIA technologies are already helping customers tackle some of their most pressing modernization challenges. For example, evolving business logic embedded in the 麻豆原创 systems that run their operations.

For decades, organizations have extended 麻豆原创 applications with custom ABAP code that reflects how their businesses operate. That logic captures years of operational knowledge across finance, supply chain, service processes, and more. But modernizing these environments for the cloud and preparing them for the next generation of AI-driven innovation can be complex.

To help accelerate this journey, 麻豆原创 developed . a foundation model trained exclusively on real-world ABAP code and the business logic used across 麻豆原创 environments. The solution incorporates specialized models for code-related tasks, including StarCoder2 for code completion, and Codestral for deeper code understanding and explanations. These models are served through NVIDIA NIM microservices to deliver high-performance inference.

brings these capabilities into the developer experience, helping teams analyze existing ABAP code, understand how customizations interact with core business processes, and generate new code when needed. By making decades of embedded business logic easier to interpret and update, we help organizations accelerate modernization and preserves the knowledge that makes their operations unique.

Connecting AI to business operations

The collaboration between 麻豆原创 and NVIDIA also explores how AI can operate within enterprise workflows to help organizations apply intelligence across both physical operations and complex planning environments. One emerging area is embodied AI, in which intelligence extends beyond software systems into the physical world. By combining AI reasoning with sensors, robotics, and enterprise data, organizations can connect real-world observations directly with digital business processes.

For example, predictive maintenance alerts from can trigger robotic inspections that analyze equipment using thermal, visual, and acoustic signals. These signals are evaluated alongside asset histories and maintenance records to identify potential issues. then orchestrates follow-up actions through , prioritizing work orders and guiding technicians with the right operational context. By linking physical-world insights with enterprise workflows, organizations can turn physical-world signals into coordinated enterprise actions.

The same principle applies to complex planning environments. Supply chains today must manage a constantly shifting web of constraints, from supplier availability and transportation disruptions to evolving customer demands. With NVIDIA, we are exploring technologies, such as NVIDIA Metropolis and NVIDIA Cosmos, to bring the latest AI advancements into warehouse management, safety, and asset inspection.

Together, we are also bringing new capabilities to  that combine agent-based reasoning with the  GPU-accelerated optimization engine. This enables planners to simulate complex supply chain scenarios and evaluate alternatives with more speed and accuracy. By integrating advanced optimization with 麻豆原创鈥檚 supply chain planning capabilities, organizations can dynamically model constraints, adapt plans as conditions change, and make more confident decisions in increasingly complex environments.

Collaboration with large-scale 麻豆原创 customers helps identify real operational bottlenecks, paving the way for AI-driven solutions. . The Taiwan-based global electronics manufacturer and manufacturing solutions provider will work with 麻豆原创 to develop AI-powered innovations for manufacturing and supply chain operations.

By combining 麻豆原创鈥檚 enterprise applications and business context and Foxconn鈥檚 manufacturing expertise, organizations can enhance operational efficiency, increase resilience, and advance decision-making across complex production and supply networks.

Experience agentic AI at NVIDIA GTC

麻豆原创 is enabling Joule Agents across its application portfolio, helping organizations automate tasks and coordinate complex workflows within business processes. At NVIDIA GTC, visitors will see how these capabilities are extended using  on to build agents tailored to specific enterprise scenarios.

And because 麻豆原创鈥檚 AI architecture is model-agnostic, organizations can bring their own models into these workflows, in addition to those deployed through 麻豆原创 AI Core. The hands-on experience at NVIDIA GTC will demonstrate how organizations can build AI-driven workflows that operate directly within the enterprise systems that run their business.

It all happens at , taking place March 16-19, 2026. Join us to see how 麻豆原创 and NVIDIA are helping organizations modernize enterprise systems, accelerate AI adoption, and move toward the AI-native enterprise:

• Attend our session: on Tuesday, March 17, from 2:00-2:40 p.m.
• Visit the 麻豆原创 booth, #2001, to explore agentic AI in action, participate in hands-on vibe-coding with Joule Studio, and witness next-generation enterprise automation

.

Brenda Bown is chief marketing officer for 麻豆原创 Business AI.

麻豆原创 has restructured the award recognition to provide more meaningful distinction, reflect our partners鈥� essential contributions, and ensure all award categories align to the Partner Ecosystem Success strategy. The newly created 麻豆原创 Partner Awards replace previous recognition programs, including the 麻豆原创 Pinnacle Awards, the 麻豆原创 Global LoB Partner Excellence Awards, and the 麻豆原创 Regional Partner Excellence Awards.

麻豆原创 partners are an essential extension of our team, driving success throughout the Customer Value Journey and helping our customers bring out their best. We rely on our partners鈥� unique industry expertise, implementation methodologies, and complementary solutions to meet the specific needs of customers, especially as they transition to the cloud and embed artificial intelligence (AI) into their business practices.

To exemplify our ongoing commitment to partners, our new awards framework continues the tradition of rewarding outstanding achievements and excellence. These awards recognize significant partner contributions in market units, regionally, and, most prestigiously, at the global level.

We are pleased to announce the . Only 23 partners are recipients of this esteemed award. These influential partners have illustrated the ability to help customers thrive through innovative services, products, and solutions.

The 2026 麻豆原创 Partner Awards recognize 50 categories globally and are based on performance from January 1, 2025 to December 31, 2025. As in previous years, selections were determined using system-generated data on core weighted metrics and key performance indicators. A steering committee of global 麻豆原创 representatives then viewed, vetted, and ranked the achievements according to internal criteria aligned with 麻豆原创鈥檚 communicated business strategies.

Recipients will be celebrated during and and will be invited to exclusive networking opportunities with peers and 麻豆原创 leadership. These partners will also receive a communication package to help promote their success. To further amplify this achievement, 麻豆原创 will list winners on its website for a year and through its communication channels to maximize global exposure to prospects and customers.

Congratulations to the 2026 . We look forward to applauding your success at and .

Karl Fahrbach is chief partner officer at 麻豆原创.

For the opening, Andre Bechtold, president, 麻豆原创 Industries & Experiences, addressed the network partners with a warm welcome and underlined the strategic value of partners for 麻豆原创 and its global customer base. These partners are front-runners of the human-centered approach to innovation, exploring and designing solutions with and for customers built with latest 麻豆原创 technologies such as 麻豆原创 Business AI.

It鈥檚 all about openness, collaboration, and storytelling

During a fireside chat, Dennis Kecskemeti, head of 麻豆原创 Innovation Experience, Paul Saunders, head of 麻豆原创 Customer Outcomes & Advocacy, and Andreas Wendel, head of Innovation Experience Services, answered questions asked by moderator and head of Customer Engagement Services MEE, EMEA, and APAC Kathrin Tarnai-Sindl.

All three guests had brought a personal object with a special connection to 麻豆原创 AppHaus. Interestingly, two brought their mobile phones, but for very different reasons: for one it was the device to listen to audio stories when traveling or commuting, for the other it was a multifunctional gadget to do private calls when traveling, listen to music, and much more. The third guest brought a handball to remind everyone that all good things only work out when teams work together and collaborate. So, their central describing words for 麻豆原创 AppHaus were storytelling, openness, creativity, multifunctionality, and collaboration.

With the new integrated approach, the closer interplay of 麻豆原创 AppHaus, 麻豆原创 Experience Centers, and co-innovation services will provide one continuous experience journey in an end-to-end context. 麻豆原创 AppHaus is where problems are framed and ambition is created in a human-centered, exploratory, and strategic way. 麻豆原创 Experience Centers translate that ambition into tangible value narratives, showcasing what鈥檚 possible with 麻豆原创, 麻豆原创 Business AI, and 麻豆原创 Business Suite. Co-innovation services turn inspiration into execution by piloting, validating, and scaling real solutions with customers and partners. Together, all three form a closed loop from challenge, vision, and experience to solution and impact.

“Each service within 麻豆原创鈥檚 innovation experience is strong on its own. But their real power emerges through connection and collaboration. By bringing 麻豆原创 AppHaus, 麻豆原创 Experience Centers, and co-innovation together, we are shaping a new way for customers and partners to work with 麻豆原创, turning ambition into confidence and inspiration into lasting impact.”

Andreas Wendel, Head of 麻豆原创 Innovation Experience Services

麻豆原创 AppHaus Network members came together in Walldorf

The event agenda offered different working sessions and formats for strategic alignment, exchange on experiences in customer projects, joint marketing efforts, mergers and acquisitions, enablement, and feedback rounds on . On top of that, there was room for networking and excursions. After hours of exchange in discussions, work groups, and sessions, the group of about 30 partner representatives visited the S.Factory, S.Mart, and 麻豆原创 Experience Center. A fun bowling competition, a scavenger hunt across the Walldorf campus, and a quick glimpse at the construction site of the future 麻豆原创 AppHaus Walldorf rounded out the event experience and left the partners with a comprehensive update on all things 麻豆原创 related.

“During this year鈥檚 麻豆原创 AppHaus Network meet-up we focused on shaping our collaboration model for the future, on further improving our co-innovation methods together, and on learning about our different strategic needs and priorities. It is so valuable to meet the 麻豆原创 AppHaus members鈥� representatives in person and have this lively exchange! And let鈥檚 not forget, this year it is about building bridges between our new sister teams within 麻豆原创鈥檚 innovation experience and the global 麻豆原创 AppHaus Network partners.”

Svenja Mueller, Customer Engagements MEE, EMEA, APAC, and Co-Lead of the 麻豆原创 AppHaus Network

About 麻豆原创 AppHaus Network听

For more than a decade, 麻豆原创 AppHaus has collaborated closely with a growing network of more than 20 partners around the world. They have established their own 麻豆原创 AppHaus locations and are fully trained in 麻豆原创鈥檚 human-centered approach to鈥痠nnovation. Together, all members work to drive co-innovation projects with customers, using cutting-edge 麻豆原创 technologies such as 麻豆原创 Business AI, Joule, agentic AI, and many more. It is about very timely enablement of all members in train-the-trainer formats to explore and design business use cases in customer workshops. Latest examples include the 麻豆原创 Learning Journey and other formats, tools, and methods offered in the specialized .鈥�

This allows all 麻豆原创 AppHaus Network members to act as agile front-runners and co-innovation experts. They support customers regardless of their digital maturity, guiding them to unlock tangible business value around the world along鈥�.

Imke Vierjahn is communications lead for 麻豆原创 AppHaus.

The hub brings together startups, academia, industry leaders, and defense organizations to co-create solutions that strengthen digital sovereignty, operational resilience, and readiness in response to threats to safety and security.

The launch comes at a pivotal moment. Defense organizations worldwide are shifting from traditional modernization to full digital transformation, with missions increasingly dependent on secure data flows, resilient supply chains, and systems that remain trusted even under stress. In addition, digital sovereignty has become a core component of readiness, requiring architectures that ensure customers maintain full control of their data and operations.

The launch took place in Munich, a new 鈥淪ilicon Valley鈥� for defense innovation, and featured customers, partners, academics, government officials, and representatives from 麻豆原创. The city offers a uniquely powerful foundation for the hub, gathering a fast-growing community of startups, leading research institutions such as the Technical University of Munich (TUM), and established aerospace and defense leaders. The hub unifies the strengths of these experts, connecting them so that they can coordinate their capabilities to meet defense needs rapidly and efficiently.

More than just a physical space, the hub introduces a new framework that breaks down silos and enables a powerful ecosystem that drives defense innovations. Creative startups, leading industry experts, government organizations, academia, and researchers can come together to make ideas mission-ready more quickly and securely, while maintaining the digital sovereignty necessary to protect information and maintain trust.

As a leading technology provider for the hub, 麻豆原创 acts as an enabler, not just an operator. Through our contributions, we have reaffirmed our role as a neutral technology partner, delivering secure digital platforms while leaving mission decisions entirely in customers鈥� hands.

Our long-standing experience and time-tested technology have proved the ability to perform under uncertainty and stress, a must for the readiness that defense demands, providing cyber-resilient architectures and real-time visibility into logistics during crises, as well as full governance and transparency.

Our cloud operations model, auditability frameworks, and strict access controls keep mission-critical systems secure, verifiable, and compliant.

With 麻豆原创鈥檚 involvement and support, the hub represents a significant step forward for defense innovation, serving as an important catalyst in a location with the potential to become a global center for the defense industry.

Andre Bechtold is president of 麻豆原创 Industries & Experiences.

Photography courtesy of Norbert Steinhauser.

Updated March 2, 2026

Usually in the cloud, 麻豆原创 partners provide implementation and operations services that complement 麻豆原创 cloud services. In such scenarios, partners utilize support services from 麻豆原创 on behalf of the joint customer. Typical scenarios include, for instance, requesting support for a technical issue by creating a support case with 麻豆原创 or leveraging 麻豆原创 Cloud ALM in an implementation project.

As partners regularly request support, 麻豆原创 closely collaborates with its partner ecosystem along all dimensions of support and equips partners with the tools, insights, and self-services they need to deliver consistent, high鈥憊alue services alongside 麻豆原创. This includes:

• Best practices for partners to self-sufficiently handle common consulting and 鈥渉ow-to鈥� questions from customers
• Data insights and dashboards, such as the customer insights dashboards and Support Collaboration Analytics (for partners) in 麻豆原创 for Me, to help monitor performance, identify trends, and proactively realize quality improvements
• Best practice guidance embedded in 麻豆原创 Cloud ALM with the opportunity for partners to enhance process content and methodologies represented in the solution
• Support Accreditation training that can guide partners to efficiently engage 麻豆原创 for support
• Enabling transparency on partner action on customer鈥檚 behalf through dedicated partner S-users

Partner selection based on trusted support expertise

Customers can now receive higher value from partners with trusted support expertise. Partners that have built strong capabilities for an effective support collaboration can accelerate project execution and reduce risks. For example:

• Partners that self-sufficiently address customers鈥� consulting and 鈥渉ow-to鈥� questions can resolve inquiries much faster, as it avoids involving 麻豆原创 in the process.
• Partners that use 麻豆原创 self-services or automatic responses to support inquiries as the default without creating redundant cases can minimize delays and disruptions.
• Partners that effectively follow 麻豆原创鈥檚 best practices, for example in 麻豆原创 Cloud ALM and the 麻豆原创 Activate methodology, can be better equipped to help mitigate project risks and escalations.

Customers are therefore encouraged to review partners鈥� support capabilities when selecting and working with partners. Effective partners apply 麻豆原创 support best practices to help resolve issues and self-sufficiently handle customers鈥� consulting and 鈥渉ow-to鈥� inquiries. As a target for showing trusted support expertise, no more than 30% of partner-created support cases should fall into these categories. High-performing partners will establish standard operating procedures and continuously optimize service delivery by leveraging 麻豆原创鈥檚 data-driven support insights. Such partners also engage more efficiently with customers and 麻豆原创 by speaking the same language because consultants are qualified on support offerings, channels, and best practices through the Support Accreditation training. They can also deliver best practice-based implementations by applying 麻豆原创 guidance available through 麻豆原创 Cloud ALM.

To simplify partner selection, also based on their trusted support expertise, 麻豆原创 will show such qualified partners in 麻豆原创 Partner Finder from March 2026 onwards.

As a prerequisite for showing such trusted support expertise, customers need to ensure their partners are working with partner S-users.

Customer action recommendations to realize incremental value when engaging partners

When seeking a partner, select those with trusted support expertise, visible from March 2026 onward in through a support proficiency designation.

When working with your partner, enable transparency by authorizing partner S-users for support case handling via the and leverage the in 麻豆原创 for Me for transparency on partner support collaboration effectiveness.

Jens Bernotat is head of Strategy, Portfolio, and Ecosystem Management for Global Customer Support at 麻豆原创.
Marcus Blaesi is head of Global Ecosystem Programs for Global Customer Support at 麻豆原创.

As 麻豆原创 accelerates our strategy around applications, data, and AI, these certification enhancements will help ensure our growing ecosystem is aligned鈥攂oth technically and directionally鈥攚ith our clean core, cloud-forward, and AI-ready approach.听

A framework designed around partner and customer needs 

麻豆原创 is committed to delivering business innovations across applications, data, and AI. With this update, we have listened closely to partners and customers and introduced enhancements that make it easier for partners to听validate听their solutions while听maintaining听麻豆原创鈥檚听high standards:听

• Empowering customers to听leverage听data-driven business and enterprise AI鈥攕ecurely and at scale听
• Supporting intelligent apps, seamless cloud connectivity, and adoption of 麻豆原创 Business Technology Platform (麻豆原创 BTP)
• Adhering to 麻豆原创鈥檚 鈥渃lean core鈥� extensibility guidelines, ensuring future-ready, upgradable integrations

Integration certification and the new interoperability review 

Our refreshed framework offers听two clear paths for partners.

Integration certification (use-case based) 

• For partner solutions aligned with 麻豆原创 strategic priorities (麻豆原创 BTP-based, using 麻豆原创 Business AI, clean core, public cloud, and intelligent apps)
• Certification awarded for specific use cases that adhere to 麻豆原创听strategic priorities for听integration, data, and development guidelines
• Benefits include certified status, branding rights, and access to go-to-market support, with clear guidance and transparency throughout the process

Interoperability review (open and inclusive) 

We are especially excited to introduce the听interoperability review,听a new open program designed in response to partner and customer feedback.

• Open to all partner听and independent software vendor (ISV)听solutions, including those that may not be eligible for听integration听certification
• Showcase听technical compatibility with 麻豆原创 solutions through听compliance with听technical听integration听standards听
• Solutions listed as interoperable听on 麻豆原创 Notes and receive detailed听review听summery
• Helps partners听demonstrate听interoperability and 麻豆原创 compliance to customers.

This new interoperability听review听reflects our commitment to听listen to the 麻豆原创 ecosystem听and听enable more partners听and ISVs听to听participate, fostering innovation across our platform.听

How this benefits partners and customers听听

For partners:

• Easier access to 麻豆原创鈥檚 integration framework, even if formal certification听is not听applicable
• Clear pathways for strategic alignment and accelerated development of maintainable, future-ready solutions
• Co-marketing visibility for certified solutions

For customers: 

• Access to a broader set of partner solutions that are future-ready, upgradable, and compliant with 麻豆原创鈥檚 clean core standards
• Confidence in interoperability and technical quality across 麻豆原创鈥檚 business application landscape
• Faster adoption of data-rich solutions built on robust foundations

Looking forward 

The new framework,听planned to听launch in听Q3 2026, is designed to听empower partners, build trust with customers, and accelerate innovation across 麻豆原创鈥檚 platform.

Our Partner Ecosystem Success team will support this transition throughout the second half of 2026. Partners can preview the criteria for the integration certification and the interoperability review in the or reach out to your 麻豆原创 partner manager or the 麻豆原创 ICC team with questions. 

Karl Fahrbach is chief partner officer of 麻豆原创 SE.

Together, the companies plan to create the digital backbone for a sovereign, interoperable and AI-supported healthcare system. The solutions will combine the expertise of Fresenius, one of the world鈥檚 largest healthcare companies, with future-oriented 麻豆原创 technologies and meet high requirements for data sovereignty, security and regulatory compliance. The plan is to provide an open, integrated and data鈥慸riven digital health ecosystem that enables hospitals and medical facilities worldwide to use AI securely and to handle health data responsibly.

Digital sovereignty for healthcare

麻豆原创 and Fresenius plan to jointly build an individual, scalable healthcare platform that enables connected, data-driven healthcare processes. Based on this, the companies will develop joint, future-oriented and AI-supported healthcare solutions to sustainably increase quality, transparency and efficiency across the entire care chain and set new standards for digital innovation in the healthcare sector. The foundation will be proven 麻豆原创 technologies and products such as 麻豆原创 Business Suite, 麻豆原创 Business Data Cloud (麻豆原创 BDC), 麻豆原创 Business Technology Platform (麻豆原创 BTP) and 麻豆原创 Business AI. These core elements help create a unified, compliant, open and expandable base for the more-secure exchange and use of data as well as for operating AI models in a controlled environment.

Together, the companies also plan to build a sovereign, European solution for an integrated healthcare ecosystem that supports the integration of modern hospital information systems (HIS) based on 麻豆原创鈥檚 鈥淎nyEMR鈥� strategy. Interfaces based on open industry standards such as HL7 FHIR will enable the more-seamless connection of HIS, electronic medical records (EMRs) and other medical applications.

鈥淲ith 麻豆原创鈥檚 leading technology and Fresenius鈥� deep healthcare expertise, we aim to create a sovereign, interoperable healthcare platform for Fresenius worldwide. Together, we want to set new standards for data sovereignty, security and innovation in healthcare. Thanks to 麻豆原创, Fresenius can harness the full potential of digital and AI-supported processes and sustainably improve patient care,鈥� says Christian Klein, CEO and Member of the Executive Board of 麻豆原创 SE.

鈥淭ogether with 麻豆原创, we can accelerate the digital transformation of the German and European healthcare systems and enable a sovereign European solution that is so important in today鈥檚 global landscape. We are making data and AI everyday companions that are secure, simple and scalable for doctors and hospital teams. This creates more room for what truly matters: caring for patients,鈥� adds Michael Sen, CEO of Fresenius.

As part of the joint transformation project, both companies plan to invest a mid three-digit million euro amount in the medium term to consistently drive the digital transformation of the German and European healthcare system through the use of digital and AI-supported solutions.

The partnership is implemented through various forms of collaboration. These include joint investments in startups and scaleups, joint technological developments and close cooperation within coordinated governance structures between the two companies.

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Media contact:
Dana Roesiger, +49 62277 7 63900, dana.roesiger@sap.com, CET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.听 Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

The partnership will embed artificial intelligence at the core of Syngenta鈥檚 enterprise, modernizing operations and enabling accelerated innovation through advanced data analytics across the business 鈥� from manufacturing and supply chain to grower-facing products and services.

The agricultural industry continues to navigate challenges driven by climate variability, supply chain complexity and global uncertainty. By deploying AI-assisted tools enterprise wide, this partnership positions Syngenta to meet the challenge of feeding a projected 10 billion people by 2050 while unlocking faster innovation, stronger operational resilience and scalable impact across the business.

鈥淎I is the catalyst for agricultural transformation and has quickly become a core competitive edge for Syngenta,鈥� said Feroz Sheikh, chief information and digital officer at Syngenta Group. 鈥淥ur partnership with 麻豆原创 is transforming how we run the enterprise, modernizing core operations and unlocking new ways to work 鈥� a testament to our commitment to becoming an agriculture company with AI at its core.鈥�

鈥淪yngenta鈥檚 transformation sets a benchmark for digital innovation in agriculture,鈥� said Philipp Herzig, chief technology officer at 麻豆原创 SE. 鈥淭ogether, we鈥檙e demonstrating how cloud and AI technologies can drive sustainable growth and efficiency in one of the world鈥檚 most critical industries. This partnership will help Syngenta future-proof its operations to feed the world responsibly.鈥�

Scaling an AI-First Operating Model for Agriculture

Syngenta鈥檚 transformation will begin with鈥槎乖� Cloud ERP Private solutions, modernizing core operations across the value chain to deliver agility, resilience and scalability. The company鈥檚 ambition is clear: unlock innovation faster, strengthen its leadership in agriculture and future-proof operations against volatility.

Through the 麻豆原创 Business Data Cloud solution, Syngenta will create a unified, more secure and scalable data foundation essential for real-time decision-making and AI integration. Combined with 麻豆原创 Business AI and AI-assisted tools such as the Joule copilot, this will help the company explore smarter, faster decisions that drive operational efficiency and accelerate innovation. Additionally, Syngenta will be able to deliver better products and services to growers worldwide while enabling them to retain control and privacy over their proprietary information.

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Media contacts:
Lesa Plingen, +49 622 776 9000, lesa.plingen@sap.com, CET
麻豆原创 麻豆原创 Room; press@sap.com
Syngenta Media Relations, media@syngentagroup.com

Top image courtesy of Syngenta

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

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BITZER, a听global leader in heat and cooling technologies, partnered with NEURA Robotics and 麻豆原创 to showcase the potential of cognitive robots powered by embodied AI from 麻豆原创 to transform and streamline warehouse operation.

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This is where 麻豆原创 and the 麻豆原创 partner ecosystem make a decisive difference.

Together, we help customers translate AI strategies into meaningful outcomes by pairing partner industry expertise with听麻豆原创 Business AI, which brings hundreds of purpose-built, domain-rich capabilities embedded across 麻豆原创 applications. These capabilities help automate processes, elevate decision-making, and enhance employee productivity across the enterprise.

麻豆原创 Business Technology Platform (麻豆原创 BTP) amplifies this foundation by giving customers the ability to integrate, extend, and build AI-powered solutions in a scalable and secure environment.

Across industries, 麻豆原创 and our partners are helping customers unlock real value from AI. The examples below show how organizations are already achieving tangible impact today.

Driving efficiency with AI-powered process automation

Manual, repetitive processes remain one of the biggest barriers to operational excellence. The 麻豆原创 partner ecosystem plays a critical role in helping customers uncover these inefficiencies and redesign them with AI-driven automation.

For frozen-food manufacturer听FRoSTA, 麻豆原创 partners听sovanta AG,听and听Amista听identified invoice processing as a major bottleneck. By orchestrating the workflow using听麻豆原创 Build Process Automation听and extracting, interpreting, and validating data through听麻豆原创 Document AI, the partners were able to . Invoices that once required several minutes of manual effort now flow through the system in under a minute, with roughly 60 percent fully automated. Employees can redirect their attention to higher-value work, such as resolving exceptions and collaborating with suppliers.

This is the power of pairing partner expertise with 麻豆原创 Business AI and 麻豆原创 BTP solutions: Organizations quickly shift from isolated task automation to connected, intelligent workflows that scale across departments and regions. What begins as a single use case becomes the foundation for a broader automation strategy鈥攁ccelerating processes, reducing manual effort, and tightening the connection between data, people, and decisions.

Accelerating innovation by making AI accessible to every team

As demand for AI grows, many organizations face a familiar hurdle: the scarcity of specialized AI talent. Partners in the 麻豆原创 ecosystem help close this gap by combining their industry knowledge with tools in 麻豆原创 Business AI and 麻豆原创 BTP that make it easier for teams across the business to experiment, prototype, and deploy AI solutions at speed.

A strong example comes from Aspen Pumps, which partnered with NTT DATA听to . Using low-code capabilities from听麻豆原创 Build to design and orchestrate workflows and 麻豆原创 AI Core to power AI models, the team rapidly developed a series of automation bots鈥�12 in total. These now streamline activities such as invoice validation, order routing, and even interpreting CAD drawings to accelerate quote creation. Many proof-of-concept initiatives were completed in under a week, demonstrating how accessible innovation becomes when intelligent capabilities are built directly into the tools teams already use.

By lowering the barriers to experimentation, 麻豆原创 and partners help organizations innovate faster and more confidently. Teams can explore new ideas, test them safely, and scale what works鈥攚ithout waiting for scarce technical resources or lengthy development cycles. Innovation becomes a daily practice, not a specialized activity reserved for a few.

Building a future-ready foundation with scalable, extensible architecture

As AI becomes more deeply integrated into business operations, leaders are prioritizing platforms that will scale with them, not constrain them. This is where 麻豆原创 partners help customers design architectures that can evolve with changing market needs while preserving the stability of their core systems.

Steel manufacturer听Al Ghurair Iron and Steel (AGIS)听offers a powerful example. Working with听Deloitte, the company using 麻豆原创 Business AI embedded in 麻豆原创 S/4HANA Cloud, private edition, combined with the integration and extension capabilities of 麻豆原创 BTP. A planning cycle that once required 15 minutes of manual coordination now takes less than five. The solution has been replicated across multiple locations, and more than 400 calculations are now automated, giving teams more time to analyze results and optimize operations rather than manage spreadsheets.

When 麻豆原创 Business AI and 麻豆原创 BTP come together with partner expertise, companies gain a foundation they can rely on as their AI ambitions grow. They can scale new capabilities across plants, regions, or business units; extend processes without disrupting mission-critical systems; and seamlessly connect 麻豆原创 and non-麻豆原创 environments into a cohesive, intelligent landscape.

Turning AI potential into business transformation

These stories demonstrate what becomes possible when customers, 麻豆原创, and our partners work together: faster processing, smarter decisions, empowered employees, and architectures built for long-term agility and growth.

With the combined strength of the 麻豆原创 partner ecosystem, the domain-rich intelligence of 麻豆原创 Business AI, and the extensibility of 麻豆原创 BTP, organizations can move beyond pilots and embed AI where it matters most: in the daily processes and decisions that run their businesses.

Learn more about what’s possible for your business with 麻豆原创 Business AI at .

麻豆原创 now unites all existing milestones under a single strategic framework: a sovereign AI and cloud offering designed for Europe. 麻豆原创 now offers a truly full-stack sovereign cloud offering, empowering customers to select the right level of sovereignty and deployment for their needs, whether in 麻豆原创鈥檚 own data centers, on trusted European infrastructure or as a fully managed solution on-site.

EU AI Cloud supports EU data residency and full sovereignty, helping ensure that every organization can meet its unique regulatory and operational requirements.

Cohere: Unlocking Sovereign, Agentic and Multimodal AI Capabilities for European Enterprises

麻豆原创 and Cohere are joining forces to deliver frontier agentic AI capabilities with Cohere North, extending existing state-of-the-art multimodal AI capabilities through EU AI Cloud and sovereign offerings. Cohere North will be integrated into 麻豆原创 Business Technology Platform (麻豆原创 BTP), enabling customers with data residency constraints across industries to build robust, production-ready AI into their core business processes. Together, 麻豆原创 and Cohere will help enterprises unlock deeper insights, more accurate decision support and more intelligent automation across complex workflows without compromising on sovereignty, compliance or performance.

A Strong and Growing Ecosystem

EU AI Cloud is powered by a strong and growing ecosystem of leading European and global partners. By integrating advanced AI models and applications from partners such as Cohere, Mistral AI, OpenAI and others directly into 麻豆原创 BTP, EU AI Cloud delivers a pathway for building, deploying and scaling AI-powered applications. Customers can consume these partner offerings as SaaS, PaaS or IaaS, and deploy them flexibly across 麻豆原创鈥檚 own infrastructure or trusted European partners.

This collaborative approach ensures that European enterprises and public sector organizations benefit from the latest AI innovations securely, in full compliance with European standards and with the sovereignty and flexibility they require.

Deployment Choices for Every Security Profile

EU AI Cloud offers flexible deployment through 麻豆原创 Sovereign Cloud, giving customers full control across infrastructure, platform and software tailored to their regulatory and operational needs. AI models run on 麻豆原创鈥檚 software abstraction layer (麻豆原创 Cloud Infrastructure + 麻豆原创 BTP) in European data centers, ensuring compliance and independence from U.S. hyperscalers.

• 麻豆原创 Sovereign Cloud on 麻豆原创 Cloud Infrastructure (EU): 麻豆原创鈥檚 Infrastructure-as-a-Service (IaaS), developed with open-source technologies and operated within 麻豆原创鈥檚 European data center network. All data remains within the EU to ensure compliance with European data protection regulations.
• 麻豆原创 Sovereign Cloud On-Site: 麻豆原创-operated infrastructure offering within a customer-owned or customer-selected data center. It provides the highest levels of data, operational, technical and legal sovereignty while maintaining 麻豆原创 cloud innovation and architecture.
• Selected Hyperscalers per Market: For customers that choose to run 麻豆原创 commercial SaaS on global cloud providers, with sovereignty features as required.
• Delos Cloud: A secure and sovereign cloud solution in Germany, designed to support the public sector鈥檚 transformation and meet country-specific sovereignty requirements.

Visit the . Get 麻豆原创 news via  and .

About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE: 麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For more information, press only:
Dana Roesiger, +49 6227 7 63900, dana.roesiger@sap.com, CET
麻豆原创 麻豆原创 Room;听press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see  for additional trademark information and notices.
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The collaboration will combine 麻豆原创 enterprise application expertise with France鈥檚 vibrant AI ecosystem to create secure, scalable, AI-driven sovereign cloud solutions that protect data and intellectual property while advancing Europe鈥檚 digital transformation. The announcement took place at the Summit on European Digital Sovereignty in Berlin, where France and Germany emphasized strengthening European innovation and competitiveness.

鈥淓urope鈥檚 competitiveness depends on its ability to innovate without compromise by combining technological excellence with full digital sovereignty,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淏y joining forces with France鈥檚 world-class AI ecosystem, 麻豆原创 is helping to build a trusted digital foundation for Europe where innovation is open, data is protected and technology truly serves people and progress.鈥�

Bleu and Delos Cloud: Franco-German collaboration supporting European digital sovereignty

In a volatile and dynamic geopolitical climate, Bleu and Delos Cloud have established a robust Franco-German alliance to safeguard Europe鈥檚 digital infrastructure. Bleu and Delos Cloud signed a mutual assistance commitment for technical and operational cooperation in extensive crisis and emergency scenarios. This includes technical and operational cooperation to help ensure rapid, coordinated crisis response, even in extreme scenarios, such as military conflict or cyberattacks.

This partnership includes enabling cross-border capabilities for early detection, analysis, defense and remediation of cyber incidents. By working together, Bleu and Delos Cloud strengthen Europe鈥檚 capabilities for resilience and digital sovereignty, supporting both crisis prevention and long-term stability.

Together with 麻豆原创, authorities and governments, Bleu and Delos Cloud are ready to make a central contribution to Europe鈥檚 digital sovereignty, helping ensure that critical infrastructure remains secure, resilient and under European control. Further details are available .

Capgemini: Driving Europe’s AI-driven digital and technology sovereignty

麻豆原创 and Capgemini are deepening their strategic partnership to strengthen cybersecurity and accelerate sovereign agentic AI-driven enterprise transformation solutions across Europe. Under the Franco-German industry alliance, both companies will sign a cooperation agreement and launch a Sovereign Technology Partnership, providing European organizations access to the spectrum of enterprise data management and migration services, cloud infrastructure and automation platforms, and agentic AI capabilities for European industries 鈥� including those in the public sector and regulated industries. By setting a new benchmark for trusted, compliant and resilient digital infrastructure, 麻豆原创 and Capgemini are helping enable European organizations to innovate securely and independently. Further details are available .

Mistral AI: Alliance for European sovereign AI

麻豆原创 and Mistral AI today announced an expansion of their strategic partnership to accelerate digital transformation and strengthen Europe鈥檚 technological sovereignty in artificial intelligence. The collaboration will provide organizations with the first full sovereign AI stack for Europe:

• Bringing together Mistral AI and 麻豆原创 products: 麻豆原创 will provide Mistral AI鈥檚 frontier AI, including Le Chat, through the sovereign AI Foundation on 麻豆原创 Business Technology Platform (麻豆原创 BTP). This joint offering will bring together the strengths of enterprise software and AI to deliver sovereign cloud solutions for Europe on sovereign AI data center. Mistral AI Studio will be integrated into AI Foundation, an 麻豆原创 solution empowering customers and partners to build and deploy sovereign cloud applications and AI agents securely, compliantly and at scale within their own environments. 
• Co-developing sovereign customer solutions: 麻豆原创 and Mistral AI will jointly design and develop industry-specific AI applications that leverage 麻豆原创鈥檚 technology leadership and Mistral AI鈥檚 expertise to solve complex engineering and R&D challenges and unlock new business value.

This joint effort is the next step to enabling sovereign AI across the continent on European terms. AI Foundation in 麻豆原创 Business Technology Platform serves as an integration layer that offers 麻豆原创 Business AI across virtually any infrastructure. Mistral AI and 麻豆原创 lay the foundation together with partners and endorsed by governments for scalable and compliant AI solutions in Europe, covering sovereign AI from the hardware to the platform and applications to the user interface.  

A dedicated sovereignty pillar will serve European public services and regulated sectors, starting in Germany — and extendible to a wide variety of industries. By integrating Mistral鈥檚 AI capabilities into 麻豆原创鈥檚 cloud infrastructure for Europe, the partnership enables secure, scalable AI deployments tailored to local requirements.

A unified vision for Europe鈥檚 digital sovereignty

These partnerships form a key part of 麻豆原创鈥檚 broader 麻豆原创 Sovereign Cloud solutions to strengthen Europe鈥檚 digital sovereignty and unlock the potential of AI. 麻豆原创 is accelerating its investment in European sovereignty, deploying the 麻豆原创 Cloud Infrastructure service across local data centers and allocating over 鈧�20 billion to sovereign cloud and AI solutions. By combining trusted governance and rigorous compliance with the ability to maintain control over data and assets while deploying some of the best available technologies on European terms, 麻豆原创 is creating a resilient digital foundation for governments, public institutions and enterprises under European control.

Visit the . Get 麻豆原创 news via  and .

About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For more information, press only:
Dana Roesiger, +49 6227 7 63900, dana.roesiger@sap.com, CET
Clara Villanueva, +1(610) 661-5176, clara.villanueva@sap.com, ET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.
Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.鈥�

The collaboration aims to deliver secure, scalable, and AI-driven sovereign cloud solutions that advance Europe鈥檚 digital transformation while maintaining control over data and infrastructure.

Here, we explore the main takeaways from the partnership and its broader implications.

Q: What is the main objective of the 麻豆原创-Mistral AI partnership?

A: 麻豆原创 and Mistral AI are strengthening their alliance by combining 麻豆原创鈥檚 enterprise expertise with Mistral AI鈥檚 cutting-edge AI technology. The partnership is designed to accelerate the rollout of AI-driven solutions across industries, echoing the pace of major U.S. tech partnerships. By jointly offering frontier AI from Mistral AI with 麻豆原创鈥檚 leading enterprise platform, the collaboration is making sovereign AI a practical reality for Europe鈥攇rounded in a shared commitment to innovation and digital sovereignty.

Q: What are the technical highlights of the partnership?

A: The partnership builds on 麻豆原创鈥檚 locally hosted AI, introduced in 2024, which already allows customers to access leading AI models on 麻豆原创-operated infrastructure. The next phase will see 麻豆原创 providing Mistral AI鈥檚 frontier models and products through a sovereign AI foundation on 麻豆原创 Business Technology Platform (麻豆原创 BTP). Mistral AI Studio and Le Chat will be integrated into 麻豆原创鈥檚 AI Foundation, enabling customers and partners to build and deploy sovereign AI applications and AI agents within their own environments, without compromising data sovereignty or regulatory compliance.

麻豆原创 and Mistral AI will jointly design and develop industry-specific AI applications to unlock new business value. A dedicated sovereignty pillar will serve European public services and regulated sectors, starting in Germany, and can be extended to any industry. Both partners will also co-sell on joint opportunities.

Q: Why is this partnership strategically important for Europe?

A: Both 麻豆原创 and Mistral AI emphasize that Europe鈥檚 competitiveness depends on its ability to innovate without compromise, combining technological excellence with full digital sovereignty. The partnership is designed to ensure that European organizations can leverage cutting-edge AI while retaining control over their data, infrastructure, and future direction.

The new capability simplifies access to semantically rich 麻豆原创 data products through bi-directional, zero-copy sharing with Microsoft Fabric, enabling enterprises to gain instant access to trusted, business-ready insights for advanced analytics and AI.

鈥淲e are excited about continuing to strengthen our partnership with Microsoft to create more value for our customers,鈥� said Muhammad Alam, member of the Executive Board of 麻豆原创 SE, 麻豆原创 Product & Engineering. 鈥淏y bringing 麻豆原创 Business Data Cloud and Microsoft Fabric closer together, our customers can seamlessly leverage the power of data to generate real business value through AI and analytics.鈥�

鈥淥rganizations across every industry are accelerating their AI transformation by bringing together data from operations, analytics, and applications,鈥� said Scott Guthrie, executive vice president, Microsoft Cloud and AI. 鈥淲ith 麻豆原创 Business Data Cloud and Microsoft Fabric, we鈥檙e delivering a trusted foundation for analytics and AI, and helping our customers move faster, make smarter decisions, and turn insight into real business outcomes.鈥�

Unlocking the true potential of your enterprise data

麻豆原创 BDC Connect for Microsoft Fabric empowers organizations to fully harness their data and applications by delivering secure, rapid access to 麻豆原创 data products at scale鈥攚ithout the delays of data replication.

Through bi-directional, zero-copy sharing between 麻豆原创 Business Data Cloud and Microsoft Fabric, customers can realize use cases that previously required moving and managing copies of data.听麻豆原创 data products will be seamlessly integrated into Microsoft OneLake, Microsoft Fabric鈥檚 AI ready data lake, and data sets shared from Microsoft OneLake will also be available in 麻豆原创 BDC to supplement intelligent applications.

By utilizing Fabric鈥檚 data engineering, data warehousing, and Power BI capabilities, organizations can effectively integrate 麻豆原创 data with their broader ecosystem, establishing a unified foundation for their enterprise data. OneLake integration into Microsoft AI Foundry can also help customers leverage their 麻豆原创 data in building AI applications, and as OneLake is built into Microsoft 365, hundreds of millions of users can get secure access to their 麻豆原创 data through the products they use every day such as Excel and Teams.

Accelerating business insights and AI with 麻豆原创 and Microsoft Fabric

麻豆原创 BDC Connect for Microsoft Fabric enables a unified data foundation that helps organizations get insights faster and accelerate their AI strategy. Through this bi-directional integration, customers can:

• Build a semantically rich data foundation on harmonized 麻豆原创 and non-麻豆原创 data
• Perform advanced analytics and interact with enterprise data in natural language with Copilot in Microsoft Power BI.
• Develop intelligent AI applications and agents grounded in mission-critical business data using Fabric data agents, Copilot studio, and AI Foundry
• Enable multi-agent collaboration between M365 Copilot and Joule, leveraging a unified enterprise data and productivity platform to provide a seamless experience for business users

Availability

麻豆原创 Business Data Cloud Connect for Microsoft Fabric is planned to be generally available in Q3 2026.

Irfan Khan is president and chief product officer for 麻豆原创 Data and Analytics.
Arun Ulag is president of Azure Data at Microsoft.

It’s a mindset shift 麻豆原创 is already embracing to help our customers build genuine business resilience. It lies not just in reducing our own emissions, but in actively supporting and financing the restoration of the natural systems that underpin global economic stability.

The business case for nature-based initiatives

The interdependence between business and nature is no longer theoretical. Today, US$44 trillion of economic value generation depends directly on nature. From food systems that sustain people to water resources, natural capital forms the invisible infrastructure of the global economy. Yet this foundation is eroding rapidly, creating systemic risks that no company can ignore.

For 麻豆原创, investing in forest ecosystems is not just philanthropy, it’s risk management. By financing and supporting nature-based climate projects, we can protect ourselves and our stakeholders against the loss of natural capital while strengthening our position as a sustainability leader. These investments provide opportunities to regenerate the ecosystems that our economies and societies depend on for food, water, medicine, and sustainable growth.

A comprehensive approach to net-zero

In our mission to help the world run better and improve people’s lives, 麻豆原创 has committed to achieving net-zero emissions along our entire value chain by 2030, aligned with the science-based 1.5掳C future outlined in the Paris Agreement negotiated at COP21 in in 2015, 20 years ahead of our original target. This accelerated timeline reflects both urgency and ambition.

Until 2030, 麻豆原创 is committed to financing projects that reduce and remove more CO₂ from the atmosphere than our own operations鈥攊ncluding scope 1 and 2 emissions plus business travel鈥攑roduce each year. This commitment means we’re taking responsibility for the impact of our business operations while we scale up our decarbonization efforts.

This strategy follows a clear hierarchy: avoid and reduce emissions first, then neutralize what remains. We’re working to reduce gross greenhouse gas emissions by 90% across our value chain on a market-based accounting approach. The remaining emissions, no more than 10%, in line with Science Based Targets initiative standards, will be neutralized through high-quality, verified carbon removal projects spanning both nature-based and engineered solutions.

Matthias Medert, global head of Sustainability at 麻豆原创 SE, says: 鈥淥ur reduction efforts have earned 麻豆原创’s inclusion in the EU Paris-Aligned Benchmarks, giving investors confidence in our approach and demonstrating that rigorous action to tackle global issues strengthens rather than compromises business performance.鈥�

Nature-based carbon finance in action

Since 2012, 麻豆原创 has been building one of the most comprehensive corporate reforestation programs in the technology sector. To date, we have planted 20.51 million trees towards our commitment in 2024 to plant 25 million trees by 2030 while restoring more land than our offices and data centers occupy.

These aren’t isolated exercises. Through long-term investment in the , 麻豆原创 is supporting comprehensive 10- to 20-year projects that combine reforestation, forest protection, improved forest management, rural energy, and agroforestry initiatives implemented directly with local communities. These initiatives restore degraded natural ecosystems, improve the livelihoods of rural populations, and facilitate transitions to efficient rural energy and regenerative agriculture.

In addition to this, to help advance its mission to secure the Amazon rainforest鈥檚 future. By tracking 15 strategic KPIs鈥攊ncluding deforestation rates and production chain revenue鈥攁nd sharing data with stakeholders through the 麻豆原创 Sustainability Control Tower solution, FAS is steering its efforts with accurate and reliable ESG data, positively impacting preservation efforts in the Amazon, home to not only the greatest fresh water reserve on the Earth, but around 390 billion trees and to 2.2 million indigenous people across 400 ethnic groups whose traditional knowledge is essential to the conservation of local and global biodiversity.

Partnerships amplifying impact

As a member of the corporate alliance managed by the World Economic Forum, 麻豆原创 is contributing to the collective goal of conserving and restoring multiple ecosystems around the world, supporting projects in over 25 countries, including Brazil, Madagascar, and the Philippines.

Technology can drive indirect reforestation as well. Through a partnership with , the not-for-profit search engine, every 50 searches made by 麻豆原创 employees support the planting of new trees and investments in sustainable developments. This partnership has resulted in over 760,000 trees planted to date, while employees conduct their work and maintain their privacy through anonymized search queries.

Beyond nature-based solutions, we have partnered with , investing in engineered carbon removal through its Direct Air Capture (DAC) technology. This diversified portfolio approach helps ensure that we’re supporting the full spectrum of solutions needed.

Connecting to COP30 and the Tropical Forest Forever Facility

麻豆原创’s approach to climate finance aligns powerfully with emerging global frameworks, particularly the (TFFF) initiative, a top financing priority for Brazil’s COP30 presidency. The TFFF, formally launched last week at COP30 in Bel茅m, is designed to provide long-term, predictable financing for conserving and expanding tropical and subtropical moist broadleaf forests.

This initiative reflects a critical evolution in climate finance thinking. Nearly 100 countries, representing two-thirds of global greenhouse gas emissions, have submitted or announced new Nationally Determined Contribution targets that include strategies to safeguard forests. 麻豆原创’s multi-year investments in the demonstrate the kind of long-term, community-centered approach that the COP30 presidency seeks to scale globally. Our experience shows that when corporations commit to sustained financing with integrity and transparency, the impacts multiply: carbon is sequestered, biodiversity rebounds, communities build resilience, and businesses thrive.

Corporate action beyond the value chain

Provided it doesn’t undermine current corporate decarbonization programs, the financial muscle of corporations can bridge critical gaps in parts of the world where funds aren鈥檛 sufficiently available to restore ecosystems and build strong, durable economies and livelihoods.

Sustained corporate financial contributions provide quantifiable benefits to strengthen business resilience beyond 麻豆原创’s own value chain, delivering positive impacts for local and global populations and for biodiversity. Through collaboration, transparency, and technology, we’re proving that climate action isn’t just compatible with long-term business success, it’s essential to it.

The question for business leaders isn’t whether to invest in climate finance, but how quickly they can scale their commitments. The resilience of our businesses, our economies, and our planet depends on the actions we take today.

Learn more about and how we support our customer鈥檚

Karen Restrepo 脕vila is Sustainability and Net-Zero communications lead at 麻豆原创.

The challenges facing businesses today demand fresh ideas, digital fluency, and bold thinking. These are the qualities youth leaders bring in spades. For more than 20 years, WAFF, co-founded by music legend Nile Rodgers and his lifelong partner Nancy Hunt, has mentored young leaders from more than 100 countries. Over the past decade, WAFF and 麻豆原创 have partnered to deepen that global impact, moving youth voices from symbolic gestures to central drivers of innovation.

From roundtables where teenagers challenge senior executives, to shaping initiatives at the UN Climate Change Conferences and the World Economic Forum annual meeting in Davos, WAFF and 麻豆原创 have developed a blueprint for embedding youth-led ideas into corporate strategy, supply chains, and culture while delivering measurable business and societal impact.

Here are five lessons from the collaboration on how intergenerational partnerships unlock value for both business and society.

1. Problems that span generations require leadership that does too

Traditional business models silo generations: executives design the strategy, then hand it down for others to execute. In today鈥檚 world, that handoff wastes momentum and risks irrelevance.

WAFF鈥檚 2024 global study, , found that when senior leaders and young changemakers co-create from the start, ideas are stress-tested in real time. This results in strategies that are bolder, more resilient, and more adaptable to fast-moving challenges.

In short, instead of passing the baton on the final leg, build your strategies together from the starting line.

2. Intergenerational collaboration is a smart strategy

Youth leaders aren鈥檛 just 鈥渇uture leaders.鈥� They already bring expertise that legacy teams lack. Digital natives understand platforms, trends, and user behavior instinctively. They also bring the urgency of living through the climate crisis and global inequality.

Take WAFF Youth Leader , who uses AI to track plastic debris and apply data-driven models to malnutrition. Her work bridges grassroots innovation with scalable solutions, which is exactly the kind of thinking that can de-risk corporate strategies and ensure relevance from day one.

For companies, including youth voices isn鈥檛 an act of goodwill; it鈥檚 strategic de-risking.

3. Where business, policy, and community align, impact follows

Global challenges cannot be solved in silos. The biggest breakthroughs happen when companies, policymakers, and social entrepreneurs collaborate.

One example is Mozamel Aman, a young Afghan impact entrepreneur and immigrant in Germany, who built to create inclusive employment pathways. In 2023, he began a partnership with 麻豆原创 Germany connecting women to the opportunity for tech jobs in the 麻豆原创 ecosystem, blending corporate support with government stipends. His organization leverages government stipends from the Bundesagentur f眉r Arbeit (Federal Employment Agency) to train unemployed individuals and connect them with job opportunities. 

Germany鈥檚 technical is nearly the same size as its refugee population. Partnerships like this solve social challenges while closing critical business gaps in talent and innovation.

4. Purpose, profit, and the power of inclusion

Authentic inclusion of young experts, especially Gen-Zs, builds credibility, trust, and stronger business performance.

Employees notice:

• Engagement: of U.S. employees were engaged in 2024, the lowest level in a decade.
• Retention risk: Employees who feel with their company鈥檚 mission and values are much more likely to stay, while misalignment drives turnover.
• Business impact: Highly engaged employees drive higher profitability.

WAFF’s global study findings underscore these statistics, indicating that young people see inclusivity and accountability as non-negotiable factors. By authentically including youth, organizations set a standard of purpose that fuels stronger engagement, deeper loyalty, and, ultimately, higher profitability.

5. Strategic procurement for social good

The most powerful financial corporate tool for change isn鈥檛 in giving, but perhaps in spending.

麻豆原创 Business Network facilitates in annual commerce. Compare that to an average corporate social responsibility (CSR) budget of among FTSE 100 companies, and the potential is clear: redirecting even a fraction of procurement spend toward youth-led, sustainable enterprises can transform impact at scale.

Watson Institute, with leadership from former WAFF alumni, James Okina, has recently published a new research report on the opportunity for young social entrepreneurs in impact-led procurement. The found that young, impact-driven entrepreneurs who succeed in selling to corporations report an average revenue increase of $170,187.50, while those who fail to secure deals lose between $7,000 and $300,000 in potential revenue. Okina offers that he “doesn鈥檛 understand why youth involvement in business is still so controversial.” 麻豆原创 and WAFF agree. By integrating expert impact entrepreneurs who happen to be young into procurement pipelines, for example, companies embrace innovation and align with corporate goals and values while maintaining quality, price, and performance. It is a smarter, systemic approach than writing philanthropic checks.

A blueprint for the next decade

Over the past decade, 麻豆原创 and WAFF have shown that partnering with young impact leaders creates a true competitive edge.

Companies that co-create with the next generation design strategies that are bolder, more relevant, and more sustainable. They build workforces that are engaged, trusted, and innovative. They align business goals with societal needs in ways that deliver measurable results鈥攁nd, across generations, they operate on longer runways to implement lasting solutions.

Businesses that win in the next decade won鈥檛 just listen to youth; they will build with them. And that鈥檚 smart business.

Jennifer Beason is global director of Corporate Social Responsibility at 麻豆原创. Annie Greene and Jamie Roach are global program leads at We Are Family Foundation.

Early results in proof-of-concept applications of 麻豆原创鈥檚 robotics initiative, Project Embodied AI, demonstrate up to 50 percent reductions in unplanned downtime, up to 25 percent improvement in productivity, and significant reductions in operational errors across manufacturing, warehouse automation, and quality inspection.

These results are among the reasons why 麻豆原创 has expanded its Embodied AI ecosystem through partnerships with leading robotics companies and robotic enablement partners, as announced this week at 麻豆原创 TechEd. This builds on the recently announced collaboration with NEURA Robotics and NVIDIA to drive the future of physical AI.

The Embodied AI initiative extends the impact of into physical operations by making robots cognitive: able to autonomously execute complex tasks while understanding the broader business context in which they work. This empowers enterprises to faster adapt to changing operational environments.

麻豆原创 is uniquely positioned to deliver these innovations because of its decades of experience with business applications deeply integrated into the processes that power the modern enterprise. This allows 麻豆原创 customers to integrate robotics into the same business functions seamlessly, in a way no other company can. The result of our new robotics partnerships includes new proof-of-concept applications of embodied AI that demonstrate the business value and return on investment of our approach.

Cutting-edge experiments demonstrate measurable productivity gains

, a leading name in refrigeration, air conditioning, and heat pump technology, teamed up with 麻豆原创 and NEURA Robotics to revolutionize warehouse logistics. In a recent pilot proof-of-concept, BITZER鈥檚 warehouse became a testing ground for one of Europe鈥檚 most advanced humanoid robot, , which was able to perform pick-tasks on its own in real time.

The tasks are selected by embodied AI agents. The process also integrates 麻豆原创鈥檚 business logic from through (麻豆原创 BTP). Prior to its warehouse deployment, 4NE1 was trained virtually using NVIDIA’s Isaac Sim software. This ensured the robot was fully prepared for real-world operations. By integrating embodied AI into warehouse operations, BITZER could reach 24/7 utilization and a high level of responsiveness.

The technology can add to human expertise, stepping in during demand fluctuations and peak periods. It also complements regular shifts with flexible and scalable support. This ensures operations remain agile and efficient, even under varying workloads. Thanks to a single source of truth, orders can be expanded or cancelled in near real time, as robots execute changes almost instantly. This improves reaction times and enables BITZER to maintain high service levels while optimizing the use of resources.

鈥淲e are excited to join the Embodied AI initiative with 麻豆原创 and NEURA. We believe this collaboration will enhance our operational efficiency and drive innovation in our processes.鈥�

Christian Stenzel, Vice President of Corporate Organization and IT, BITZER

Transforming warehouse operations at Sartorius

Imagine stepping into a warehouse in which intelligent machines work side-by-side with humans. The first proof of concept for embodied AI at shows it is possible and marks a milestone in the journey to next-level logistics.

鈥淪o far, like many others, our focus was on fixed automation, in which specialized equipment handles only a single task. Now we鈥檙e making automation intelligent, and far more dynamic, to help us navigate a fast-moving world.鈥�

Steffen Dietz, Manager of Business Process Management in Operations and Supply Chain, Sartorius

The proof of concept, also delivered through the partnership with 麻豆原创 and NEURA Robotics, demonstrates how cognitive robots can support manual workstations in an advanced warehouse environment. Here, the humanoid robot 4NE1 was trained with Sartorius products in NEURA Robotics鈥� lab. The solution builds on an 麻豆原创 S/4HANA migration and 麻豆原创 Extended Warehouse Management (麻豆原创 EWM) rollout in May, which established the foundation for leveraging the latest capabilities from 麻豆原创.

The result boosts efficiency and enhances operational resilience. 鈥淲e鈥檙e really happy to help spearhead this new age together with 麻豆原创 and NEURA,鈥� Steffen Dietz, manager of Business Process Management in Operations and Supply Chain at Sartorius, shared.

Optimizing automotive production at Martur Fompak

, a global leader in automotive seating systems, teamed up with  and 麻豆原创 to explore how humanoid robots could transform field operations workflows.

Humanoid offers robots that provide cost-effective industrial automation and warehouse solutions, with modular designs that enable configurations for logistics operations, asset monitoring, and scalable field service applications.

Together the team is testing how cognitive robotics can support picking and packing operations at the company鈥檚 30 production plants across various continents and countries.

The early exploration connects Humanoid modular robots with 麻豆原创 solutions to execute workflows such as component retrieval, tray loading, and precise placement into production containers. 麻豆原创鈥檚 embodied AI agents provide context awareness around production orders and component variants.

“麻豆原创’s AI platform gives our robots intelligence to adapt and scale with enterprise needs, which creates flexible automation.”

Artem Sokolov, Founder and CEO, Humanoid

Initial findings demonstrate the value in automating repetitive and ergonomically demanding tasks, such as unpacking parts, handling trays, or supporting kitting processes. These experiments will be the foundation for a broader transformation in which humanoid robots participate in 麻豆原创-driven manufacturing environments and logistics processes.

Robotics company partners

Building upon these successes, 麻豆原创 announced the following additional partnerships:

AgiBot

Agibot creates general-purpose embodied robot products and an application ecosystem. The company delivers a complete product portfolio and deploy across all major application scenarios.

“Our 麻豆原创 partnership transforms industrial automation by combining humanoid capabilities with enterprise intelligence that understands business context,” said Peng Zhihui, founder of .

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ANYbotics

ANYbotics provides a full-stack autonomous inspection solution that combines autonomous robotics with inspection intelligence.

“Integrating this continuous flow of inspection intelligence with 麻豆原创 makes operations not only autonomous but truly intelligent, where issues are predicted, understood, and prevented before they affect production,鈥� said Dr. P茅ter Fankhauser, CEO and co-founder of .

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Booster Robotics

Booster Robotics provides T1 humanoid robots for warehouse operations and field maintenance.

“Our humanoid platforms, with 麻豆原创’s intelligence, creates an adaptive automation foundation that understands business processes and operational context,” said Cheng Hao, CEO of .

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Galbot

Galbot’s fully autonomous, general-purpose humanoid robots have been deployed across a wide range of applications, including industrial, logistics, retail, and healthcare sectors. Powered by proprietary vision-language-action models, the Galbot G1 autonomously performs complex tasks such as precise parts sorting, industrial bin handling, and end-to-end pharmacy operations. These models enable Galbot robots to rapidly adapt to dynamic environments, ensuring high precision and efficiency even in challenging real-world conditions.

“Our collaboration with 麻豆原创 marks a key milestone in transforming how robots understand and operate within enterprise environments. By integrating business context awareness into our robots, we’re creating automation that seamlessly adapts to shifting operational priorities in real time,” said He Wang, founder and CEO of .

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Humanoid

Humanoid offers reliable HMND 01 humanoid robots that provide cost-effective industrial automation and warehouse solutions, with modular designs that enable configurations for logistics operations, asset monitoring, and scalable field service applications.

“麻豆原创’s AI platform gives our robots intelligence to adapt and scale with enterprise needs, which creates flexible automation,” said Artem Sokolov, founder and CEO of .

Unitree Robotics

Unitree Robotics provides advanced quadruped Go2 robots for warehouse navigation and asset inspection, plus G1 humanoids with human-like dexterity for logistics operations, alongside industrial B2 models for outdoor facility maintenance.

“麻豆原创 embodied AI agents will revolutionize enterprise autonomous operations from warehouse management to predictive maintenance across facilities,” said Wang Xingxing, CEO and founder of .

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Robotics enablement partners

麻豆原创 also introduced the following robotics enablement partners to connect humanoid and mobile robots, optimize intralogistics, streamline inspections, and orchestrate physical assets enabled by 麻豆原创 Business AI and automation technologies:

Capgemini

Capgemini explores the value that can be derived from the convergence of advanced technologies such as agentic and multi-agent AI systems, humanoid robotics, reinforcement learning, spatial computing, real-time 3D environments, and conversational AI. and 麻豆原创 are jointly exploring physical AI to help organizations gain a competitive edge.

Cyberwave 

Cyberwave connects 麻豆原创 systems to the physical world through its Physical AI platform, which integrates robots, sensors, and digital twins into enterprise workflows.

鈥淭ogether with 麻豆原创, Cyberwave turns enterprise data into coordinated physical action 鈥� bridging the gap between digital intelligence and real-world operations through Physical AI,鈥� said Simone Di Somma, founder of .

HCLTech

HCLTech provides automation expertise through its AI Force platform and 麻豆原创 integration capabilities, leveraging in collaboration with 麻豆原创 to accelerate generative AI-led robotics solutions.

“Our collaboration with 麻豆原创 enables cognitive robotics to seamlessly integrate with enterprise systems, transforming business operations through automation,” said Vijay Guntur, CTO and head of Ecosystems at .

KINEXON

KINEXON brings physical AI to day-to-day material flow management, helping customers scale mixed-fleet operations with a vendor-agnostic orchestration platform for autonomous mobile robots (AMRs), automated guided vehicles (AGVs), and manual vehicles.

“Our collaboration with 麻豆原创 infuses business-driven agentic reasoning into real-world material movement planning and execution, maximizing utilization and throughput,” said Dr. Alexander Huettenbrink, co-CEO of .

Lighthouse

Lighthouse transforms business complexities into streamlined digital solutions, leveraging expertise across 麻豆原创 Intelligent Asset Management, 麻豆原创 Business AI, and 麻豆原创 BTP. 

鈥淓mbodied AI has huge potential for use cases, including asset and site inspection, health and safety, and quality inspection to deliver more resilient, flexible operations. We see major customer needs today, such as hazardous environments on offshore platforms in the oil and gas industry, utilities, and transportation,” said Urs Gehrig, managing director of Business Development at .

SinoSwissHub

SinoSwissHub is launching a regionally compliant, 麻豆原创-integrated orchestration platform for multi-robot fleets, with humanoids as the centerpiece.

鈥淲e don鈥檛 just connect robots to an 麻豆原创 system; we enable real-time physical data to reinvent processes and build adaptive, resilient value chains together with 麻豆原创,鈥� said Yuki Long, founder and CEO of and Aimbo Robotics.

Through these strategic alliances, 麻豆原创 continues to lead the evolution from traditional robotic tools to those that empower autonomous operations, informed by deep business context.

To explore how 麻豆原创 technology makes proofs of concepts possible in robotics, explore the . To get involved in 麻豆原创’s Embodied AI initiative, .

Dr. 艁ukasz Ostrowski is head of Embodied AI and Robotics at 麻豆原创.

At 麻豆原创, we believe in creating an ecosystem that simplifies your data landscape and preserves the mission-critical business context of all of your data. This is made possible with a business data fabric.

This architectural approach marks the culmination of decades of progress 鈥� from cubes to warehouses to lakehouses 鈥� now converging toward a business data fabric architecture that brings the true meaning of data together for AI projects to succeed at scale.

Simplify your data landscape with a business data fabric

Earlier this year, we announced 麻豆原创 Business Data Cloud (麻豆原创 BDC), making end-to-end business data fabric capabilities available for everyone that relies on mission-critical 麻豆原创 data, including fully managed 麻豆原创 Databricks.

This week at 麻豆原创 TechEd Berlin, we announced the 麻豆原创 Snowflake solution extension for 麻豆原创 BDC that brings Snowflake鈥檚 data and AI capabilities directly to 麻豆原创 customers.

Together with 麻豆原创 BDC, this provides organizations with the flexibility to choose the right compute and storage for every data and AI workload 鈥� extending their business data fabric while maintaining governance, interoperability, and semantics. As a solution extension, 麻豆原创 Snowflake will be available directly through 麻豆原创, providing a simplified operational experience for customers.

For many customers, integrating data across multi-cloud and hybrid environments adds complexity, especially when bringing transactional and analytical workloads together. Too often, that process comes with a hidden data tax: it strips away the business context and semantics that give data its meaning.

We recently announced 麻豆原创 BDC Connect, a capability that gives customers bi-directional, zero copy data and metadata sharing in 麻豆原创 Business Data Cloud with their existing Databricks and Google Cloud environments. Today, we are excited to announce 麻豆原创 BDC Connect for Snowflake, making it dramatically easier for customers to harmonize and govern mission-critical data wherever it resides.

Connect all your data

As organizations simplify their data landscapes, building a trusted data foundation rooted in business context has become a top priority. A found that nearly half are heavily investing more in harmonizing business data, underscoring the growing importance of using data built on industry standards.

To help accelerate this progress, 麻豆原创 delivers fully managed data products as a core component of 麻豆原创 Business Data Cloud, now with new innovations that expand coverage and connectivity:

• Data product studio: A new capability in 麻豆原创 BDC allows users to create, model, and manage reusable data products using both visual tools and SQL-based transformations from a single workspace. Users can define schema, lineage, and logic to blend 麻豆原创 and non-麻豆原创 data into governed assets with full version control and lifecycle management. It is a simpler way to cross-pollinate data products across lines of business and ensure a consistent definition of data across your business data fabric.
• Additional 麻豆原创 data products: are now available through 麻豆原创 BDC, spanning 麻豆原创 Cloud ERP, 麻豆原创 SuccessFactors, sustainability, and customer experience solutions and more 鈥� bringing even broader coverage across business domains.
• Bi-directional data sharing: We announced data sharing between 麻豆原创 BDC and 麻豆原创 HANA Cloud, unlocking the value of data across both transactional and analytical workloads. Customers can reuse existing objects, such as 麻豆原创 HANA calculation views, directly in 麻豆原创 BDC 鈥� preserving business logic, KPIs, and governance as they extend models across their business data fabric.

Amplify your agents and applications with an AI database

We鈥檙e expanding 麻豆原创 HANA Cloud with new capabilities that make it the AI database for building agents and intelligent applications, helping developers connect and understand all types of data: structured, spatial, graph, vector embeddings, and more, all within a single in-memory engine.

Today, we鈥檙e expanding these multi-model capabilities with three major innovations that make it easier to build agentic AI experiences.

• Expanded knowledge graph capabilities to enable accurate agents: 麻豆原创 HANA Cloud knowledge graph engine will now enable customers to automatically generate knowledge graphs from 麻豆原创 HANA Cloud metadata. The automated graph will include tables and columns and can demonstrate data relationships. These knowledge graphs are customizable and composable, so developers can review data mapping, modify the graph structure, execute a semantic search, and use it to ground agents with the business context it needs to reason accurately.
• Model Context Protocol (MCP) support for 麻豆原创 HANA Cloud: We鈥檙e expanding 麻豆原创 HANA Cloud with Model Context Protocol (MCP) support, giving Joule Agents access to rich multi-model engines in 麻豆原创 HANA Cloud. While SQL remains the default database standard, MCP allows Joule Agents to go beyond rows and columns to interface with unstructured data 鈥� understanding relationships, locations, and meaning across all data types. In practice, that means Joule Agents can navigate relationships between customers and suppliers, analyze geographic dependencies through spatial data, and perform semantic searches through vector embeddings.
• Tabular AI capabilities: This integration with 麻豆原创 AI Core allows users to run AI workloads such as forecasting, anomaly detection, and predictive modeling directly on structured business data from 麻豆原创 HANA Cloud. Along with ready-to-use tabular AI models, customers also gain access to the 麻豆原创-RPT-1 AI model, a new transformer-based foundation model. Embedded natively in 麻豆原创 HANA Cloud, this delivers predictions without task-specific pre-training, enabling developers to use simple SQL procedures to bring AI closer to their 麻豆原创 data and generate semantically rich outputs.

Get started today

A business data fabric provides a deeply integrated ecosystem for all your data. And with 麻豆原创 Business Data Cloud and 麻豆原创 HANA Cloud, you have a fully managed solution for every data and AI workload that ensures business context remains intact across your data landscape.

Irfan Khan is president and chief product officer of 麻豆原创 Data and Analytics.

BERLIN 鈥� At 麻豆原创 TechEd in 2025, (NYSE: 麻豆原创) brings AI deep into the development process to level up how developers build.

New AI-driven capabilities in the 麻豆原创 Build solution, an expanding data ecosystem and powerful Joule Agents empower developers to move from idea to impact with unprecedented speed and confidence. As AI transforms the nature of professional work, 麻豆原创 also pledges to equip 12 million people worldwide with AI-ready skills by 2030.

鈥溌槎乖粹�檚 announcements today give developers the tools they need to deliver at the speed of AI,鈥� said Muhammad Alam, member of the Executive Board of 麻豆原创 SE. 鈥淚nnovations across 麻豆原创鈥檚 unique flywheel of applications, data and AI put developers in the driver’s seat — where they belong.鈥�

Opening the Developer Ecosystem

麻豆原创 Build, the company鈥檚 flagship solution for enterprise application development and automation, now gives developers more freedom to build, extend and automate using the tools they love most.

For instance, developers who prefer agentic development solutions like Cursor, Claude Code, Cline and Windsurf can now use 麻豆原创 development frameworks with new 麻豆原创 Build local Model Context Protocol Servers. Visual Studio Code users will be able to access 麻豆原创 Build capabilities directly in their development environment with a new 麻豆原创 Build extension. This extension will also be made available later on Open VSX Registry for other development environments. 麻豆原创 and n8n also announced plans for an integration so Joule Studio agents and n8n agents can work together.

And with new agent building capabilities in Joule Studio, developers have the tools they need to extend 麻豆原创鈥檚 ready-to-use agents and build new agents grounded in 麻豆原创 business data and context that can act autonomously based on changing business conditions.

Putting Data to Work

Every intelligent application starts with trusted data. 麻豆原创 is giving developers more ways to put that data to work through 麻豆原创 Business Data Cloud.

The solution now connects with more of the data and AI platforms developers use every day. A new 麻豆原创 Snowflake solution extension for 麻豆原创 Business Data Cloud brings Snowflake鈥檚 fully managed data and AI capabilities directly to 麻豆原创 customers, giving them the flexibility to choose the right compute and storage for each data and AI workload, while maintaining governance, interoperability and business context. 麻豆原创 also announced a new 麻豆原创 Business Data Cloud Connect partnership with Snowflake. This complements existing integrations with Databricks and Google Cloud, giving developers more freedom to choose how they work with 麻豆原创 data.

With a new data product studio capability in 麻豆原创 Business Data Cloud, developers can turn raw data into ready-to-use assets known as data products that support analytics, AI and application development.

An expanded capability in the 麻豆原创 HANA Cloud knowledge graph engine can automatically generate knowledge graphs. This capability maps relationships across 麻豆原创 database tables, columns and data models, revealing how data fits together and why it matters. Developers will be able to see how their data connects across systems and uncover underlying business insights.

Bringing AI Autonomy to Life

麻豆原创 is evolving its AI portfolio to give developers the intelligence and orchestration power they need to take AI from insight to action.

麻豆原创 introduced its first enterprise relational foundation model, a new class of AI that predicts business outcomes rather than the next word in a sentence. 麻豆原创-RPT-1, or the first-generation Relational Pre-trained Transformer, can make fast and accurate predictions for common business scenarios like delivery delays, payment risk or sales order completion. 麻豆原创 launched a free playground environment for developers today.

New AI assistants in Joule coordinate multiple agents across workflows, departments and applications, bringing automation and autonomy to life. These assistants plan, initiate and complete complex tasks spanning finance, supply chain, HR and beyond. Today, 麻豆原创 introduces new agents built for technical users. For example, an agent for business process analysis will help teams understand how processes run, identify inefficiencies and uncover opportunities to optimize workflows and drive measurable improvements.

Lastly, as AI changes the nature of work for everyone, 麻豆原创 is pledging to equip 12 million people worldwide with AI-ready skills by 2030. 麻豆原创 will expand hands-on training and certification programs that integrate practical AI-ready tools, including through its partnership with online learning platform Coursera.

Visit the . Get 麻豆原创 news via  and .

About 麻豆原创

As a global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创) stands at the nexus of business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

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Joellen Perry, +1 (626) 265-0370, joellen.perry@sap.com, PT
Marcus Winkler, +49 6227 7-67497, marcus.winkler@sap.com, CET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see  for additional trademark information and notices.
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BOZEMAN, Mont. and WALLDORF, Germany 鈥�&苍产蝉辫; (NYSE: SNOW), the AI Data Cloud company, and (NYSE: 麻豆原创), a global leader in enterprise applications and business AI, today announced a new collaboration to enable organizations to leverage Snowflake鈥檚 AI Data Cloud and 麻豆原创 Business Data Cloud (麻豆原创 BDC) together with semantically rich data.

The joint effort will make Snowflake鈥檚 data and AI platform available as an 麻豆原创 solution extension for customers of the 麻豆原创 BDC solution. The new offering, 麻豆原创 Snowflake solution extension for 麻豆原创 Business Data Cloud, unites 麻豆原创鈥檚 deep expertise in mission-critical business processes and semantically rich data with Snowflake鈥檚 unified platform capabilities for building AI and machine learning solutions. 麻豆原创 and Snowflake are also enabling zero-copy sharing between 麻豆原创 BDC and Snowflake to help customers get richer insights, build enterprise-grade intelligent applications, and unlock AI-enabled innovation that fuels business transformation.

鈥淏y tightly integrating 麻豆原创 and Snowflake, we鈥檙e making it simple for enterprises to connect their critical business data with its rich context in 麻豆原创 with the power of seamless AI app and data agent development at scale in Snowflake,” added Christian Kleinerman, EVP of Product, Snowflake. 鈥淓nterprises can now innovate faster with Snowflake and 麻豆原创 BDC and seamlessly share data between the platforms鈥攝ero-copy and fully governed.鈥�

麻豆原创 Snowflake brings Snowflake into the open data ecosystem of 麻豆原创 BDC and the business data fabric鈥攅mpowering customers with greater openness and choice while extending 麻豆原创 BDC with Snowflake鈥檚 AI, analytics, data engineering, Marketplace, and collaboration capabilities. Customers can use 麻豆原创 BDC with 麻豆原创 Snowflake as a cloud-scale compute and storage option to extend the value of their data. Leveraging bidirectional, zero-copy data access data and AI teams can work with semantically rich 麻豆原创 data products in real time, within a unified governance framework. As a result, customers can harmonize 麻豆原创 and non-麻豆原创 data while optimizing total cost of ownership across workloads and build agents and AI applications in 麻豆原创 Snowflake fueled by trusted 麻豆原创 data products.

鈥淏ringing Snowflake to 麻豆原创 Business Data Cloud empowers our customers with openness and choice,鈥� said Irfan Khan, President and Chief Product Officer for 麻豆原创 Data and Analytics, 麻豆原创 SE. 鈥淭ogether, we combine 麻豆原创鈥檚 decades of leadership in mission-critical business applications with Snowflake鈥檚 modern data platform to deliver a unified, enterprise-ready, and 麻豆原创-supported experience that extends the value of business data across the entire ecosystem.鈥�

With 麻豆原创 Snowflake, customers can:

• Build a trusted, AI-ready data foundation to harmonize 麻豆原创 and non-麻豆原创 data: Unify their data landscape with an integrated business data fabric鈥攅nabling more seamless zero-copy sharing, enriched modeling, and a complete, business-ready view of their data in real time for all data engineering, analytics, and AI and machine learning workflows across the enterprise.
• Accelerate AI business value with semantically rich data: Simplify AI governance, ground AI in organizational knowledge, and build tailored agents鈥攈elping to ensure more secure, context-rich, and intelligent applications across the enterprise.
• Develop intelligent applications grounded in mission-critical business data: Build, deploy, and continuously optimize intelligent applications faster with a harmonized and democratized data foundation powered by semantically rich, trusted data products that accelerate the pace of innovation and production.

In addition to 麻豆原创 Snowflake, the partnership also includes 麻豆原创 Business Data Cloud Connect for Snowflake, a capability enabling bidirectional, zero copy data sharing with Snowflake. Enterprises already using Snowflake can leverage 麻豆原创 BDC Connect to integrate their existing instances of Snowflake with 麻豆原创 Business Data Cloud for more-seamless, zero鈥慶opy access, providing Snowflake users with real-time access to semantically rich 麻豆原创 data products鈥攚ithout duplication.

麻豆原创 and Snowflake are supporting thousands of customers, including industry leaders like AstraZeneca, as they transform their industries with this partnership.

“AstraZeneca is constantly pushing the boundaries of science and is pioneering in life-changing medicines,鈥� said Russell Smith, Vice President of ERP Transformation Technology, AstraZeneca. 鈥淒ata and AI are central to achieving this aim, and our close collaboration with 麻豆原创 and Snowflake compliments our ability to access, process and analyze real-time data. This announcement will accelerate our mission and recognizes that every minute matters to make breakthroughs for patients.”

麻豆原创 Snowflake is planned to be generally available in Q1 2026. 麻豆原创 BDC Connect for Snowflake is planned to be generally available in H1 2026.

Learn more

• Learn more about the power of 麻豆原创 and Snowflake together .
• Discover what makes the 麻豆原创 Business Data Cloud unique .
• For more information on 麻豆原创 Snowflake, visit the and read this .
• Stay on top of the latest news and announcements from Snowflake on and .

Visit the . Get 麻豆原创 news via  and .

About Snowflake

Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,000 customers around the globe, including hundreds of the world鈥檚 largest companies, use Snowflake鈥檚 AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at (NYSE: SNOW).

About 麻豆原创

As a global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创) stands at the nexus of business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For more information, press only:
麻豆原创: Scott Malinowski, scott.malinowski@sap.com
麻豆原创 麻豆原创 Room; press@sap.com
Snowflake: Tom Hannigan, press@snowflake.com

This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake鈥檚 business strategy, (ii) Snowflake鈥檚 products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake鈥檚 products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading 鈥淩isk Factors鈥� and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events.
漏 2025 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see  for additional trademark information and notices.
Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.鈥�

At the heart of this effort, 麻豆原创 is working in concert with Deutsche Telekom, NVIDIA, Siemens, Deutsche Bank, Perplexity, PhysicsX, and Agile Robots. 

Together, the AI Cloud project partners plan to help shape Europe鈥檚 digital future and facilitate the application of advanced AI technologies in European industry, beginning with a partnership between Deutsche Telekom and NVIDIA totaling around 鈧�1 billion. 

The initiative, which is backed by the German Federal Ministry for Digital Affairs and State Modernization, is designed to transform Germany into Europe鈥檚 AI hotspot and enable European companies to access secure and sovereign computing resources, as well as help them accelerate innovation and unlock the full potential of industrial AI — responsibly, collaboratively, and on Europe鈥檚 terms — drawing on Europe鈥檚 vast corporate data reserves.听

Sovereignty, not isolation

Digital sovereignty has been a hot topic in Europe and elsewhere over the past nine months, reflecting growing concerns about geopolitical events, including tariffs and cross-border data access. Some, including the European Union, have argued that Europe needs its own infrastructure to support digital sovereignty, while others have taken a broader view of the issue.听

The Industrial AI Cloud project aims to bridge these perspectives and strengthen digital sovereignty and innovation in Germany and across Europe by听leveraging听the best available technologies through trusted partnerships while ensuring that control over proprietary data听remains听firmly in European hands.听

During a joint press conference in Berlin, the partners unveiled their plans for the Industrial AI Cloud, which promises to simplify the integration of AI solutions into business operations, addressing the fragmentation that has long limited Europe鈥檚 AI landscape. 

Phase one 

In its first phase, Deutsche Telekom鈥檚 existing data center in Munich will be expanded by adding AI infrastructure with NVIDIA GPUs by the first quarter of 2026. This will enable the provision of high-performance AI services to companies of all sizes throughout Germany and Europe.  

While Deutsche Telekom supplies physical infrastructure, 麻豆原创 delivers the technology听layer by providing 麻豆原创 Business Technology Platform and a comprehensive suite of applications,听accelerated by听advanced AI听and simulation听technologies,听including those from NVIDIA. Together,听the partners are听establishing听a secure and high-performance digital platform for enterprises, public sector听organizations,听and regulated industries such as defense and critical infrastructure.

The听state-of-the-art听AI computing facility with the听Industrial听AI听Cloud is also one of the first flagship projects of the “Made 4 Germany” initiative, which includes more than 100 German companies, aiming to strengthen Germany as a business location and accelerate digitalization in business and public administration.听

Collaboration as the key to success听

As 麻豆原创 CEO Christian Klein emphasized, the demand for digital sovereignty is growing rapidly in an increasingly regulated and complex environment where tech companies are competing for leadership in the emerging market for generative and agentic AI leadership. 

According to 麻豆原创 estimates, the AI market in Europe will exceed 鈧�20 billion by 2030 and require more than 22 gigawatts of data center capacity. Meeting this demand, Klein argued, is only possible through close collaboration and partnerships. 鈥淲e will not achieve digital sovereignty by isolating ourselves, but by bringing the best technologies to Europe together with strong partners, while retaining control over our data,鈥� Klein said.

In the global AI race, it is crucial for Europe to set its own agenda and听become a leader in industrial AI.听

Laying the foundation 

Projects like the Industrial AI Cloud, Klein noted, lay the foundation for this ambition. Building infrastructure and data centers is only one step; the real economic value will be generated when AI is productively deployed and deeply integrated into business and administrative processes.  

鈥淥nly when AI is seen not as an isolated technology, but as an integral part of operational workflows, will it unlock its potential to rethink business models, substantially boost productivity, and accelerate innovation,鈥� he said. 

Prerequisites for success

Germany and Europe possess a strong industrial base, extensive expertise, and a wealth of industrial data. To turn this opportunity into tangible progress, policymakers and business leaders must coordinate their efforts, establish clear frameworks, and invest strategically in education, research, and secure, interoperable infrastructure. 

The Industrial AI Cloud enables seamless integration of AI solutions into businesses, closing the gap in Europe鈥檚 previously fragmented AI landscape. It combines choice and scalability, addressing the growing demand for secure, European AI solutions. 

The vision extends beyond the project itself. A digitally sovereign Europe — offering modern, user-centric services for citizens, government, and industry — will make Europe more efficient and innovative than ever, thanks to AI.听

Miami is a city that thrives on diversity and innovation, making it the perfect home for LeverX鈥檚 second AppHaus location. Together with and , LeverX becomes the latest 麻豆原创 AppHaus Network partner to establish a creative lab in North America. In addition to its , LeverX is now expanding its global footprint with this vibrant new space in Florida鈥檚 cultural capital.听听

Located in the heart of Miami鈥檚 metropolitan area, invites customers to co-create new solutions with LeverX鈥檚 experienced team of coaches and architects and enjoy the city鈥檚 rich cultural and Hispanic heritage. 

On October 23, Jan Gilg, chief revenue officer and president, 麻豆原创 Americas and Global Business Suite, celebrated the opening of the new LeverX AppHaus Miami with Dr. Victor Lozinski, co-founder and chairman of the Board at LeverX, his team, and a group of customer executives.  

“With the opening of the LeverX AppHaus Miami, we are proud to continue our partnership with LeverX by helping even more American customers leverage the power of data, AI, and human-centered design. By reducing complexity through low-code frameworks, we look forward to accelerating innovation and delivering even more solutions for our customers that drive their productivity and help them grow their businesses even further.”

Jan Gilg, Chief Revenue Officer & President, 麻豆原创 Americas and Global Business Suite

About LeverX  

A long-standing 麻豆原创 partner, LeverX is a global system integrator and a top-tier consultancy dedicated to delivering professional, customer-centric solutions and services. Founded in 2003 on the principles of technological excellence and personalized service, LeverX has established itself as a trusted partner in the digital transformation journey of Fortune 500 clients worldwide.  

“LeverX, a global system integrator, unites more than 2,200 specialists dedicated to delivering end-to-end business solutions. Working hand in hand with clients, LeverX experts transform strategic visions into fully operational systems that drive measurable results. The recent opening of the company鈥檚 second AppHaus underscores LeverX鈥檚 continued commitment to human-centered innovation. This milestone highlights how a focus on user experience enables organizations across industries to create and implement best-in-class 麻豆原创 business solutions.”

鈥嬧�嬧�婦r. Victor Lozinski, Co-Founder and Chairman of the Board at LeverX

Welcome LeverX AppHaus Miami听听

The 麻豆原创 AppHaus team proudly welcomes the LeverX AppHaus Miami to its network of more than 20 partner-driven locations worldwide.  

“Here鈥檚 to a warm welcome to the LeverX AppHaus Miami team! Our Innovation Experience team is excited to see 麻豆原创 AppHaus Network expand with its newest location in Miami鈥攁 vibrant creative space to work shoulder to shoulder with customers, designing and prototyping impactful solutions. At its core, it鈥檚 all about delivering superior customer experiences by transforming complex challenges into clear opportunities, turning ideas into business-ready innovations powered by 麻豆原创鈥檚 latest technology.”

Dennis Kecskemeti, Vice President, Head of 麻豆原创 Innovation Experience 

The LeverX AppHaus Miami team consists of top 麻豆原创 experts and advanced IT solution experts. The dynamic design thinking space is designed for collaborative innovation, comfortably accommodating up to 25 participants. Larger events can be hosted in an additional space within the building. The flexible layout allows the environment to suit any interactive workshop, ensuring an engaging and productive experience. 

“We are proud to open our second LeverX AppHaus location in Miami. What truly sets it apart is its unique blend of a productive environment and an enjoyable lifestyle. Imagine starting your day with an immersive explore workshop, enjoying the bustling downtown at lunch, and then unwinding on a yacht in the evening. This opportunity to conduct business in a relaxed and inspiring setting acts as a powerful innovation booster, encouraging fresh perspectives and out-of-the-box thinking. We can鈥檛 wait to welcome our first co-innovation customers in the newly designed spaces.”

Nataliya Rubakhava, Global 麻豆原创 AppHaus Lead at LeverX

More information about the LeverX AppHaus Miami can be found on the dedicated or by visiting the new creative space at 801 Brickell Ave #1970, Miami, Florida, 33131, United States of America. 

About 麻豆原创 AppHaus Network 

For more than a decade, 麻豆原创 AppHaus Network has collaborated closely with a growing group of more than 20 partners around the world. They have established their own AppHaus locations and are fully trained in 麻豆原创鈥檚 human-centered approach to鈥痠nnovation. Together, all members work to drive co-innovation projects with customers, using cutting-edge 麻豆原创 technologies such as 麻豆原创 Business AI and exploring and designing business use cases in workshops such as the latest offered in the specialized .鈥�

All members are empowered early on with the latest methods, tools, and knowledge, allowing them to act as agile front-runners and co-innovation experts. They can support customers regardless of their digital maturity, guiding them to explore new use cases and unlock tangible business value for customers around the world along . 鈥疉s of October 2025, the LeverX AppHaus Miami joins the 麻豆原创 AppHaus Network as 24^th location worldwide. Kathrin Tarnai-Sindl, head of 麻豆原创 AppHaus, concludes: 鈥淟everX is the first 麻豆原创 AppHaus Network member to open a second AppHaus location. We look forward to seeing more and more organizations benefit from this superior customer experience offered by our trusted partners, in Florida and beyond!鈥澨�

Imke Vierjahn is 麻豆原创 AppHaus communications lead.

麻豆原创 reimagines enterprise AI with role-based assistants in
Joule that coordinate agents across lines of business

LAS VEGAS 鈥� At its inaugural 麻豆原创 Connect event, (NYSE: 麻豆原创) showcases how the integration of AI, data and applications creates unparalleled business value.

These breakthroughs 鈥� including a new network of role-based assistants in Joule that partner with humans to elevate performance, an expanding data ecosystem that drives deeper insights and supply chain software that anticipates disruptions 鈥� once again revolutionize how business gets done.听

“To thrive when volatility is the new normal, businesses need more than a patchwork of disparate best-of-breed applications,” said Muhammad Alam, member of the Executive Board of 麻豆原创 SE, 麻豆原创 Product & Engineering. “Our announcements today demonstrate the power of 麻豆原创 Business Suite, where AI, data and applications come together in an experience to propel smarter decisions, faster execution and scalable transformation.”

AI that Partners with People

麻豆原创 unveils Joule鈥檚 next stage as the AI force at the center of 麻豆原创 Business Suite鈥檚 value creation. Drawing on the applications and data from across 麻豆原创 Business Suite, 麻豆原创 is introducing a new generation of role-aware assistants in Joule. Each assistant is designed to partner with a human being in their specific business role. Assistants in Joule tap into the right agents for the job, configuring, orchestrating and managing them so humans can focus on unlocking new levels of insight and productivity.

Supporting the assistants in Joule is a , designed to help execute complex workflows within a specific function. For instance, a People Manager Assistant coordinates a team of specialized agents — including the new People Intelligence Agent, which helps spot and resolve issues like compensation anomalies — to support managers as they drive performance. A new Financial Planning Assistant will be aided by a group of expert agents — including the new Cash Management Agent, which optimizes cash flow and improves interest yields — to help finance professionals drive efficiencies. This new roster of role-aware AI assistants not only partner with people to elevate performance in their lines of business but also work together across business functions to solve complex enterprise-wide problems.

Data that Defies Boundaries

Data fuels AI鈥檚 transformative power but it鈥檚 often siloed in different systems. At 麻豆原创 Connect, we are removing those barriers with 麻豆原创 Business Data Cloud Connect. 麻豆原创 BDC Connect securely links 麻豆原创 BDC with partner platforms to enable a bidirectional flow of business-ready data products across organizational and technological boundaries.

With zero-copy sharing, data stays securely in 麻豆原创 systems yet remains instantly accessible in customers鈥� existing data platforms, preserving business context without costly copies. The result: fewer silos, simpler pipelines, no duplication — just trusted data products where and when they鈥檙e needed.

麻豆原创 also announced that Databricks and Google Cloud are the first partners enabled for 麻豆原创 BDC Connect, with more to follow. As announced in February 2025, 麻豆原创 Databricks remains a data service within 麻豆原创 Business Data Cloud, and 麻豆原创 BDC Connect extends its benefits across an open data ecosystem. These partnerships give customers faster access to data products for analytics and AI, helping teams move from raw data to real-time business outcomes with greater speed and simplicity.

Applications that Turn Data into Action

At the heart of 麻豆原创鈥檚 unique value proposition are enterprise applications where data is created and AI-driven insights are experienced. 麻豆原创 Supply Chain Orchestration is a new AI-native solution that combines the power of Joule with a live knowledge graph to detect real-time risks several suppliers deep and orchestrate a coordinated response, helping customers cut costs and keep supply chains moving. 麻豆原创 Engagement Cloud, a new customer experience solution, uses business-critical context to personalize interactions across customers, suppliers and other stakeholders. And our next-generation 麻豆原创 Ariba procurement suite stands out as an AI-native solution, bringing intelligence to every stage of spend management, from sourcing through supplier engagement.

Altogether, these 麻豆原创 Business Suite innovations mark the beginning of a new era powered by self-reinforcing AI, data and applications that drive intelligence, speed and resilience.

Visit the . Get 麻豆原创 news via  and .

About 麻豆原创

As a global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创) stands at the nexus of business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For more information, press only:
Joellen Perry, +1 (626) 265-0370, joellen.perry@sap.com, PT
Marcus Winkler, +49 6227 7-67497, marcus.winkler@sap.com, CEST
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see  for additional trademark information and notices.
Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.鈥�

By connecting Google BigQuery, the autonomous data to AI platform with agentic capabilities, and 麻豆原创 and Google aim to help enterprises of all sizes gain more immediate access to trusted, business-ready data for enterprise analytics and AI across their platforms.

For decades, enterprise data and analytics have existed in separate worlds. Mission-critical business data, rich with semantic context, has been locked within transactional systems. Traditional extract, transform, load (ETL) processes create data replicas that are difficult to govern, quickly become stale, and prevent businesses from acting on real-time insights, ultimately hindering digital transformation.

Our 麻豆原创 and Google partnership ends this compromise. By eliminating data replication and unifying the data landscape, 麻豆原创 and Google Cloud are empowering businesses to build intelligent agents, automated workflows, and predictive insights that are directly grounded in live, trusted business information.

As the first hyperscaler to adopt 麻豆原创 BDC Connect, 麻豆原创 BDC Connect for Google BigQuery enables organizations to unlock the true potential of their data and applications with secure and rapid access to 麻豆原创鈥檚 semantically rich and governed data products at scale, without the delays and complexities of data replication and need for ETL pipelines. Customers can flexibly combine 麻豆原创 data with their other enterprise data in BigQuery and vice-versa to innovate with leading analytics and agentic AI capabilities.

鈥溌槎乖� and Google Cloud have a long history of empowering global enterprises to harness the power of data and AI,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淏ringing together Google BigQuery and 麻豆原创 Business Data Cloud gives our customers choice without compromise, enabling them to fast-track their analytics and AI initiatives.鈥�

鈥淏usinesses are combining intelligence and automation into every aspect of their operations,” said Thomas Kurian, CEO of Google Cloud. 鈥淏y uniting 麻豆原创 Business Data Cloud with BigQuery and Gemini models, we鈥檙e making it easy for enterprises to build a unified data foundation that breaks down silos and unlocks a new class of AI agents and applications.鈥�

Innovation with 麻豆原创 data products and Google BigQuery

The centerpiece of this partnership is the new 麻豆原创 Business Data Cloud Connect for Google BigQuery. This is a zero-copy data fabric that enables seamless access to 麻豆原创 BDC鈥檚 semantically rich business data with Google鈥檚 powerful data and AI ecosystem, including Gemini models and the Vertex AI platform. The result is a modern platform for data, analytics, and AI that enables automated, cross-functional business processes.

This bi-directional integration helps to deliver an enterprise-grade offering for building and scaling AI. With 麻豆原创 Business Data Cloud Connect for Google BigQuery, customers can:

• Build grounded, trustworthy AI: Ensure the Google BigQuery AI models and agents operate on the most current and complete view of the business by accessing trusted semantically rich 麻豆原创 data in real-time without copies.
• Deploy autonomous agents: Build and deploy intelligent agents using Google Cloud鈥檚 Vertex AI and Gemini that can automate complex cross-functional processes鈥攆rom supply chain optimization to financial forecasting.
• Unleash deeper insights: Fuse 麻豆原创 data through 麻豆原创 BDC with unique, world-scale datasets only available on Google Cloud, like Google Maps geospatial data, Google Trends, and public datasets, to create unparalleled business context.
• Reinvent analytics: Move beyond dashboards and reports. Enable anyone in the organization to ask complex questions on Google Cloud of their business data in natural language and get immediate, intelligent answers.

Availability

Google Cloud will offer customer and partner incentives that fast-track the adoption of these joint solutions, enabling an accelerated journey to AI-infused data transformations.

麻豆原创 Business Data Cloud is available today in Google Cloud regions across Asia Pacific, Europe, and the U.S., with more regions planned. 麻豆原创 Business Data Cloud Connect for Google BigQuery is planned to be generally available in H1 2026.

In addition, 麻豆原创 BW, private cloud edition, which is offered through 麻豆原创 BDC, is supported in more than 40 Google Cloud regions, helping our customers meet critical data residency and compliance requirements.

To ensure sovereignty, OpenAI for Germany will be supported by 麻豆原创鈥檚 subsidiary Delos Cloud, running on Microsoft Azure technology. The collaboration will enable millions of public sector employees to use AI safely and responsibly while meeting strict data sovereignty, security, and legal standards.

Christian Klein, CEO of 麻豆原创 SE, said, 鈥淎pplied AI is what truly creates value. As a Business AI company with decades of experience serving public sector organizations, we believe OpenAI for Germany represents a huge step forward. We鈥檙e bringing together 麻豆原创 Sovereign Cloud expertise with OpenAI鈥檚 leading AI technology to pave the way for AI solutions that are built in Germany, for Germany.鈥�

Sam Altman, CEO of OpenAI, said, 鈥淕ermany has long been a pioneer in engineering and technology, so it鈥檚 no surprise that millions of Germans already use ChatGPT to make their lives easier, drive scientific breakthroughs, and build new businesses. With OpenAI for Germany, we鈥檒l work with local partners to extend this potential to the public sector鈥攈elping to improve services and ensuring that the benefits of AI are shared across the country, and doing so in line with German values of trust and safety.鈥�

Satya Nadella, Chairman and CEO of Microsoft, said, 鈥淲ith this partnership we are looking forward to bringing more AI capabilities to Germany鈥檚 public sector. Azure as the platform for Delos Cloud will power this, helping to ensure AI is deployed with the highest standards of sovereignty, data privacy, regulatory compliance, and operational resilience鈥攅mpowering public institutions to adopt AI confidently and responsibly.鈥�

Through this collaboration, planned for launch in 2026, OpenAI, 麻豆原创 and Microsoft will focus on helping employees in German governments, administrations and research institutions accelerate their daily work and spend more time on people, not paperwork. OpenAI for Germany also serves as a cornerstone for developing customized public sector applications and integrating AI agents directly into existing workflows to automate and improve processes such as records management and administrative data analysis.

In support of this approach, 麻豆原创 plans to expand the existing infrastructure of Delos Cloud in Germany to 4000 GPUs for AI workloads. Subject to future demand, 麻豆原创 plans to further invest in applied AI capabilities in Germany, scaling through existing 麻豆原创-owned infrastructure as well as through new collaborations with co-location providers and other partners. These efforts aim to extend the sovereign offering to additional industries and markets across Europe.

OpenAI for Germany directly supports Germany鈥檚 national AI ambitions. The German Federal Government鈥檚 High-Tech Agenda targets AI-driven value creation of up to 10% of GDP by 2030, signaling a major push to adopt AI across the economy and public sector. Meanwhile, the 鈥淢ade for Germany鈥� initiative, which is now backed by 61 leading companies and global investors, including 麻豆原创鈥攈as pledged more than 鈧�631 billion in investments to accelerate growth and modernization. 麻豆原创 also recently announced an investment of more than 鈧�20 billion to strengthen Europe鈥檚 digital sovereignty.

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About 麻豆原创

As a global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创) stands at the nexus of business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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