The company introduces a unified 麻豆原创 Business AI Platform, deepening partnerships with Anthropic, Amazon Web Services, Google Cloud, Microsoft, NVIDIA and Palantir

ORLANDO聽鈥� At 麻豆原创 Sapphire in 2026, (NYSE: 麻豆原创) introduced the to help enhance the world’s most critical business workflows, so that humans and AI work together to meet the accelerating demands of global business profitably, strategically and safely.

鈥淔or the mission-critical processes of our customers, ‘almost right’ just isn鈥檛 good enough,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淏y uniting 麻豆原创 Business AI Platform with 麻豆原创 Autonomous Suite, we anchor AI agents in the business processes, data and governance so they can deliver accurate, compliant and secure outcomes, unlocking new sources of revenue and meaningful cost savings.鈥�

The Autonomous Enterprise includes a unified AI platform for building, contextualizing and governing agents, an autonomous suite that executes core business operations and a new user experience that redefines how people work with enterprise software.

Introducing 麻豆原创 Business AI Platform

麻豆原创 Business AI Platform is a new foundation for building and deploying enterprise AI grounded in real business context. 麻豆原创 Business AI Platform now unifies 麻豆原创 Business Technology Platform, 麻豆原创 Business Data Cloud and 麻豆原创 Business AI into a single, governed environment.

At its core is the 麻豆原创 Knowledge Graph solution, which gives AI agents a structured map of business entities, processes and relationships across a customer’s 麻豆原创 landscape. Joule Studio is 麻豆原创’s AI-first solution for building enterprise agents, applications and agentic workflows. Developers can build using the no-code, pro-code and AI frameworks of their choice on 麻豆原创-managed infrastructure that is secure, scalable and optimized for enterprise AI.

Deploying 麻豆原创 Autonomous Suite Across Every Business Function and Industry

Building on this foundation, 麻豆原创 also introduced 麻豆原创 Autonomous Suite, which enables 麻豆原创’s existing business applications with AI agents capable of running processes from start-to-finish.

The suite will deploy more than 50 domain-specific Joule Assistants across finance, supply chain, procurement, human capital management and customer experience. These assistants will automate end-to-end processes by orchestrating a subset of over 200 specialized agents to execute precise tasks. For example, the new Autonomous Close Assistant can compress the financial close process from weeks to days by automating journal entries, reconciliation and error resolution across the entire process.

麻豆原创 also launched Industry AI, expanding its deep industry portfolio through seven autonomous solutions that will enable start-to-finish industry processes and embed sector-specific process logic, data models and regulatory requirements. At 麻豆原创 Sapphire, 麻豆原创 showcased its work with European energy giant RWE to leverage Industry AI, helping reduce unplanned downtime across its offshore wind turbines. With 麻豆原创’s Autonomous Asset Management scenario, AI agents are designed to analyze data from thousands of past incidents, identify the likely root cause and generate pre-filled work orders with the right tools and proven fixes from other sites.

Designing the Autonomous User Experience

The company also revealed Joule Work, redefining how users engage with 麻豆原创 software. Instead of navigating individual applications and entering data across several screens, users will now interact primarily with Joule. By describing a desired business outcome, Joule will orchestrate the right combination of workflows, data and agents to get it done.

Joule Work goes beyond conversation, proactively surfacing relevant insights and automating routine tasks behind the scenes so work moves forward even when humans aren’t actively steering it. It will be available on desktop, mobile and voice across 麻豆原创 and non-麻豆原创 systems.

Accelerating the Customer Journey Toward Autonomy with 鈧�100 Million Infusion

麻豆原创 evolved its customer and partner programs to help accelerate the organization’s journey to the Autonomous Enterprise. To catalyze adoption, the company has launched a 鈧�100 million fund for 麻豆原创 partners to help customers deploy 麻豆原创-built AI assistants and agents. The fund is also available to partners that extend or build new partner agents on the new 麻豆原创 Business AI Platform using Joule Studio.

麻豆原创 has enhanced its RISE with 麻豆原创 and 麻豆原创 GROW offerings to accelerate AI adoption. Both include access to the Joule Assistants portfolio; RISE with 麻豆原创 customers will have three assistants activated within their first year, while 麻豆原创 GROW customers receive full portfolio access at onboarding. 麻豆原创 S/4HANA on-premises and 麻豆原创 ERP Central Component (麻豆原创 ECC) customers are not excluded: those that commit to transitioning the majority of their current landscape to 麻豆原创 Cloud ERP gain access to select AI scenarios, bridging the gap between their current landscape and their cloud destination

麻豆原创 also introduced new agent-led transformation tooling that can reduce ERP migration efforts by more than 35 percent, driving faster and more predictable projects by automating system analysis, code remediation, configuration and testing at scale.

Lastly, 麻豆原创 announced a full slate of strategic partnerships across each category:

• Platform and suite partnerships include Anthropic, with Claude among the foundation models 麻豆原创鈥檚 AI platform will leverage to power Joule agents across HR, procurement and supply chain; Amazon Web Services, bringing zero-copy data integration between 麻豆原创 Business Data Cloud and Amazon Athena; Google Cloud and Microsoft, enabling bidirectional agent-to-agent interoperability between Joule and external agent frameworks; Mistral AI and Cohere, delivering sovereign model options on 麻豆原创’s cloud infrastructure; , providing visual AI workflow orchestration inside Joule Studio; NVIDIA, whose OpenShell provides the trusted secure runtime for Joule Studio; and , bringing AI agents into 麻豆原创 Service Cloud to handle customer interactions with full access to business data and service processes.
• Implementation partnerships include Palantir and Accenture, partnering on complex data migration scenarios, and for AI-powered cloud ERP migrations.

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Partnership opens new pathways for enterprise data migration with 麻豆原创 AI-supported tooling complemented by Palantir鈥檚 AIP for data migration scenarios to simplify an expedite digital transformation for 麻豆原创 customers, with Accenture as a co-innovation partner for joint customers

This year at 麻豆原创 Sapphire, 麻豆原创 and Palantir announced an expansion of their strategic partnership focused on delivering new data migration capabilities designed to help enterprise customers succeed in the AI era and realize 麻豆原创鈥檚 vision of the Autonomous Enterprise.

The enhanced partnership is designed to facilitate joint customers鈥� cloud migrations, with the most complex data migration scenarios moving quickly, securely, and confidently through their business transformation journeys.

AI embedded across the migration life cycle

The expanded partnership builds on 麻豆原创鈥檚 broader agentic migration strategy, uniting 麻豆原创鈥檚 deep expertise in enterprise applications and 麻豆原创 Business AI with Palantir鈥檚 AIP to deliver AI-driven data migration capabilities that accelerate timelines, secure cost efficiencies, and fundamentally transform how organizations operate. 麻豆原创 customers can now leverage Palantir鈥檚 AIP for data migration scenarios alongside the agent-led toolchain from 麻豆原创, which includes business transformation tools and the new migration and modernization assistants to accelerate their transformations to 麻豆原创 Cloud ERP.

鈥淭o turn the vision of the Autonomous Enterprise into reality, organizations need trusted partners to help them transform their core operations and unlock the power of business data and AI,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淭ogether with Palantir, we are enabling customers to move to the cloud with speed and confidence through complementary capabilities that accelerate innovation across the enterprise.鈥� 

鈥淲e are proud to partner with 麻豆原创 and Accenture to bring the power of advanced AI and data migration to the world鈥檚 most important operations. This partnership is designed to help customers realize the full value of their data, accelerate cloud migrations and AI adoption, and build more resilient and efficient operations,鈥� said Alex Karp, co-founder and CEO of Palantir Technologies. 

Accenture as global strategic services partner

Accenture plays a key role in bringing this joint effort to life as the first global strategic services partner for this initiative, helping their clients translate these capabilities into large-scale business-led programs. Together, 麻豆原创, Palantir, and Accenture can help joint customers identify acceleration opportunities across 麻豆原创 and non-麻豆原创 systems sooner, achieve faster time-to-value, and drive continuous innovation by fundamentally redefining the approach to 麻豆原创 Cloud ERP migrations.

By embracing AI from day one, organizations can automate migration analysis, planning, remediation, testing, and impact assessment鈥攎oving from tracking project timelines to creating measurable business value at every stage. 

鈥淚n today鈥檚 world, speed to value is critical for our clients,鈥� said Julie Sweet, chair and CEO of Accenture. 鈥淲e are excited to co-innovate with 麻豆原创 and Palantir to help our clients accelerate their journey to ERP modernization with 麻豆原创, which is the foundation for reinventing core operations and using AI to achieve new performance frontiers.鈥� 

New 麻豆原创-validated deployment options

麻豆原创 is making Palantir AIP for data migrations scenarios available as an 麻豆原创 Endorsed App on the 麻豆原创 Store, and soon as an 麻豆原创 Solution Extension, establishing a trusted, 麻豆原创-validated path for accelerating complex data migrations, including migrations to 麻豆原创 Cloud ERP. The new 麻豆原创 Solution Extension unites 麻豆原创鈥檚 deep expertise in mission-critical business processes and semantically rich data with Palantir AIP to securely accelerate data migrations for 麻豆原创 customers. With the new offering, customers can gain faster insights and more intelligent, data-driven business outcomes.

Together, are redefining 麻豆原创 data migrations, including ERP modernization through complementary solutions, transforming a traditionally complex migration process into an effort that enables faster value realization. 

Availability 

Palantir AIP for data migration scenarios is now available as an 麻豆原创 Endorsed App on the 麻豆原创 Store. The 麻豆原创 Solution Extension is planned to be generally available to 麻豆原创 customers in Q3 2026.

Jan Gilg is a member of the Extended Board of 麻豆原创 SE.

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 础肠肠别苍迟耻谤别鈥檚 scale might be intimidating to some, but not Lambert. He鈥檚 leading an聽ongoing transformation聽of 础肠肠别苍迟耻谤别鈥檚 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.聽 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.

Personalization in AI is no longer an innovation layer; it is becoming a foundational expectation. Whether it鈥檚 for driving operational excellence, improving customer experiences, or enabling faster decision-making, organizations are increasingly prioritizing AI that understands their reality.

Generic AI models are designed to be broadly applicable, but that also makes them inherently limited. These models often fail to account for the specific nuances of a business, resulting in lower accuracy, generic insights, and poor cross-functional scalability. Their one-size-fits-all nature makes them difficult to adapt across industries with diverse regulatory needs, data types, and operational complexities.

In critical industries, where precision, compliance, and context are non-negotiable, relying on generic models can lead to inefficiencies and missed opportunities. Additionally, integrating these models into enterprise governance, security, and compliance workflows becomes an uphill task. The result? Underperformance and a growing recognition that one-size-fits-all AI is not built for the complexity of enterprise needs.

This is why more enterprises are investing in differentiated innovations with AI solutions designed from the ground up to serve specific business goals.

A clear example of this is our partnership with . Managing close to 1 million invoices annually across more than 40,000 contracts, the company faced a complex, manual billing process. Together, we used 麻豆原创 Business Technology Platform (麻豆原创 BTP) and generative AI to create a compliant, intuitive application that allows account executives to manage invoicing directly and navigate rate cards and contract terms without relying heavily on specialist teams.

The results are tangible. Billing is faster and more accurate, the user experience has improved, and commercial teams can focus more on clients instead of operational tasks. By year-end, billing efficiency is expected to improve by 32 percent and setup times halved. Much of the manual work has been replaced by an intelligent, automated platform.

Where it鈥檚 working: Sector-level transformation

Customer-specific AI applications are transforming industries by shaping intelligence around the specific data, processes, and challenges each sector faces.

In manufacturing, the impact of customer-specific AI applications is evident in how companies are streamlining complex operational processes. For instance, our team developed a solution for Henkel to support their financial supply chain management deduction and dispute management indexing process. This solution automates the analysis and indexing of claim documents received from customers, embedding advanced AI capabilities directly into the daily workflows of dispute management users. The result is faster, more accurate claim case creation, improved efficiency, and greater agility in handling disputes.

In oil and gas, AI models trained on geological data, equipment logs, and environmental variables are improving drilling forecasts and enabling proactive maintenance, enhancing both safety and energy efficiency. The automotive industry is seeing similar gains, with AI supporting predictive maintenance, autonomous driving systems, and real-time diagnostics, while also delivering personalized in-car experiences. Retailers are leveraging AI that adapts to regional buying patterns and live sales data, allowing for sharper demand forecasts, localized inventory planning, and more relevant promotions that reduce waste.

Even government agencies are finding value in context-aware AI, automating routine processes, prioritizing citizen requests, and designing policies with greater precision to deliver faster, more effective public services.

Across these examples, the pattern is clear: AI that understands the context in which it operates drives smarter decisions, more efficient operations, and better outcomes for both organizations and the people they serve.

麻豆原创鈥檚 vision: Building enterprise-grade customer-specific AI applications

麻豆原创 is at the forefront of this shift toward enterprise-grade personalized AI. The company鈥檚 vision is rooted in creating AI that is not experimental, but enterprise-ready.

Rather than building standalone solutions, 麻豆原创 embeds AI directly into core business processes across finance, HR, supply chain, and more. Through co-innovation with customers and partners, 麻豆原创 is working to make every AI solution technically robust and aligned with real-world use cases.

For AI to drive true enterprise transformation, it needs to be designed in and not bolted on. That means working closely with domain experts, aligning with compliance standards, and constantly tuning models based on real-time feedback. Customer-specific AI applications are not just about code; they are about collaboration, trust, and long-term value.

Our approach is to empower organizations to build AI that mirrors their structure, culture, and customers–making it more relevant, reliable, and responsible.

The time to scale is now

Organizations that want to stay competitive can no longer afford to treat AI as a side project. The era of experimentation is over. This is the time to scale AI that works for you intelligently, responsibly, and at speed. Customer-specific AI applications are not tech features but are strategic enablers of innovation, efficiency, and differentiation.

The future belongs to those who can scale personalization without sacrificing performance. It鈥檚 time to build with AI that knows your business.

Sindhu Gangadharan is head of Customer Innovation Services at 麻豆原创.

• 麻豆原创 Business Suite enables industry-leading enterprise functions and connected intelligence with AI-driven insights
• Packaged service offerings from Accenture are rightsized for speed and ease to help customers quickly grow and secure their businesses

NEW YORK and ORLANDO 鈥� Through a strategic expansion of their longstanding partnership, (NYSE: ACN) and (NYSE: 麻豆原创) have launched ADVANCE.

For the first time, the two companies have worked together to create a pathway to the cloud for organizations pursuing high growth with annual revenue of up to US$5 billion to help create more connected, intelligent and responsive enterprises.

Drawing on more than four decades of learnings from working with the world鈥檚 largest organizations, Accenture and 麻豆原创 are applying their expertise and breakthrough innovations to help fast-track business transformation with streamlined finance, procurement, supply chain and workforce management, delivered through preconfigured services. The ADVANCE offerings leverage the power of 鈥� which brings together business applications, data and AI capabilities 鈥� combined with 础肠肠别苍迟耻谤别鈥檚 industry, innovation, implementation, delivery and operations expertise to provide connected experiences across the enterprise while building resilience and enabling sustainable, top-line growth.聽

Available in ready-to-consume, rightsized packages, the solutions leverage AI to help companies modernize faster, in as few as six to twelve months, while providing contextual data insights and achieving predictable outcomes. Tailored by industry and function, they provide a smooth service experience, from contracting to continuous innovation.

鈥淭his expansion of our longstanding partnership with 麻豆原创 will tailor leading technologies, industry insights and innovation to meet the specific demands of high-growth companies to help them reinvent, thrive and grow,鈥� said Julie Sweet, chair and CEO, Accenture. 鈥淏y bringing together the very best of Accenture and 麻豆原创, ADVANCE can help growing companies gain the speed, agility and resilience they need to meet the challenges and seize the opportunities of today鈥檚 dynamic business environment.鈥� 

鈥淭o drive real transformation, companies need technology and services that help them move faster, operate more efficiently and scale with confidence,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淎DVANCE brings the full strength of 麻豆原创 Business Suite with 础肠肠别苍迟耻谤别鈥檚 business transformation services to a new generation of businesses, helping them grow quickly and respond with agility to new opportunities and challenges.鈥�

To support the unique needs of this customer segment, Accenture will invest in a dedicated practice of go-to-market and 麻豆原创-certified SaaS professionals, who will collaborate closely with 麻豆原创 product specialists to deliver these packages. The purpose-built packages are focused on the following principles:

• Simple: Streamlined systems and process complexity. Preconfigured industry processes and best practices improve workflows and lower costs.聽
• Secure: Reliable and secure business operations with strong encryption, access controls and centralized data management to help improve integrity and compliance.
• Fast: Rightsized solutions with transparent pricing can be implemented quickly, achieving business outcomes in months. Industry-tailored accelerators speed time to value and measurable business outcomes, from simplifying financial complexities to supply chain planning.
• Future-ready: Respond to changing market conditions faster, while leveraging continuous innovations, including AI agents.聽Enhance decision-making with data and AI for better customer experience and resilience.

Additional 麻豆原创 Business Suite offerings and Accenture services are also available, including change readiness, business process management, cybersecurity, AI agents and more.

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About Accenture

Accenture is a leading global professional services company that helps the world鈥檚 leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services鈥攃reating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 801,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world鈥檚 leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360掳 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360掳 value we create for our clients, each other, our shareholders, partners and communities. Visit us at .

About 麻豆原创

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

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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.
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Many organizations recognize generative AI鈥檚 potential to transform their business, but don鈥檛 know where to start. By combining advanced generative AI technologies with enterprise resource planning (ERP) data from critical systems, companies can unlock significant enterprise value: for example, optimizing delivery routes, anticipating potential impacts to supply chain operations, or developing precise financial outlooks.

The AI Co-Innovation Program represents the two companies鈥� shared vision to help partners define, build, and deploy generative AI applications tailored to their ERP workloads. The program brings together enterprise technology from 麻豆原创 and generative AI services from AWS with professional expertise from both parties 鈥� including teams of AI experts, professional services consultants, and solutions architects 鈥� to help support customers in their implementation journeys.

The program will include dedicated technical resources, cloud credits, and more to support the development, testing, and deployment of industry-specific applications.

“AWS and 麻豆原创’s long-standing partnership has helped customers accelerate their cloud journey and unlock more value from their business data,” said Ruba Borno, vice president of Specialists and Partners at AWS. “Our AI Co-Innovation Program is a significant next step that will give organizations the security and flexibility to build generative AI applications with Amazon Bedrock that can analyze and act on their most critical 麻豆原创 data. This will help customers transform decades of business information into actionable insights while accelerating their path to becoming more agile, data-driven organizations.”

“Through the AI Co-Innovation Program with AWS, we’re enabling businesses to solve their most complex operational challenges with precision and speed,” said Philipp Herzig, CTO and chief AI officer at 麻豆原创. “By combining the power of our fully integrated platform with 麻豆原创 BTP and our deep business process expertise with AWS’s comprehensive generative AI capabilities, partners can now create purpose-built AI agents that solve their most pressing challenges 鈥� identifying financial anomalies in real time to automatically optimizing supply chains during disruptions.鈥�

The program also allows partners to rapidly build and scale generative AI applications using the latest generative AI tools and services from Amazon Bedrock, including large language models (LLMs) such as Amazon Nova and Anthropic Claude in AI Foundation on 麻豆原创 Business Technology Platform (麻豆原创 BTP).

This announcement expands on the work AWS and 麻豆原创 are doing to help customers 鈥� including Hyundai Motor Group, Moderna, and Zurich Insurance Group 鈥� modernize and move 麻豆原创 workloads to AWS, realizing the availability, flexibility, and scalability of the cloud. Running 麻豆原创 workloads on AWS allows customers to then combine their data with generative AI solutions. Partners including Accenture and Deloitte are among the first to work with AWS and 麻豆原创 through the program, helping them accelerate the development and deployment of generative AI solutions to solve complex challenges.

鈥淭he AWS and 麻豆原创 AI Co-Innovation Program brings together AWS cloud infrastructure and 麻豆原创 enterprise software experience. Combined with Accenture’s AI transformation expertise and industry knowledge, we can show companies exactly how to integrate generative AI services with their most critical business workloads,” said Caspar Borggreve, senior managing director and 麻豆原创 Business Group lead at Accenture. “For example, together with AWS and 麻豆原创, we are working with a utilities client to build a natural disaster asset resiliency capability to anticipate and respond to environmental challenges, protecting asset-intensive landscapes and maintaining service continuity for its customers.鈥�

“This AI Co-Innovation Program combines cutting-edge generative AI capabilities from AWS and 麻豆原创 with Deloitte’s deep industry experience and technology capabilities to deliver transformative solutions for our customers,” said Nishita Henry, AWS global chief commercial officer at Deloitte Consulting LLP. “Through the program, we are building a finance solution powered by Amazon Bedrock to help healthcare and life sciences companies optimize their product mix, improve forecast accuracy, and maintain competitive pricing, even during uncertain market conditions.”

For more details on the AWS 麻豆原创 AI Co-Innovation Program, visit .

Kai Muehlbauer is head of AI Product and Partner Management at 麻豆原创.
Sara Alligood is global AWS head of 麻豆原创 at Amazon Web Services.

Part of 麻豆原创 Sustainability solutions, 麻豆原创 Green Ledger allocates carbon emissions to specific economic activities and transactions captured by ERP solutions from 麻豆原创. This innovation empowers organizations to accurately account for, analyze and report carbon footprints across products, services, and organizational units.

Addressing the growing consensus that decarbonization is required to combat climate change, 麻豆原创 Green Ledger helps companies:

• Track and account for carbon footprints in relation to their financial impact
• Lower emissions alongside financial optimization and thus facilitate carbon budgeting
• Establish carbon planning for carbon neutrality and net zero targets
• Benchmark departments, business units and profit centers from both a financial and environmental perspective
• Prepare for sustainability audits
• Improve supplier-based processes to decrease carbon emissions in the supply chain (2025)

麻豆原创 Green Ledger builds on existing financial and ERP solutions from 麻豆原创 that are established in thousands of companies worldwide. By extending these solutions to integrate emissions data, businesses can make more informed, sustainable decisions that link environmental impact with financial performance, enhancing compliance, efficiency and transparency.

鈥淓normous investments are required to abate CO₂ in order to curb global warming. Besides smart, reliable regulation also accurate data on emissions along the supply chain is paramount to trigger the necessary investment,鈥� said Dominik Asam, CFO and member of the Executive Board of 麻豆原创 SE. 鈥淥nly by moving from averages to actuals 鈥� audited at reasonable assurance 鈥� can freeriding and greenwashing be avoided, thereby protecting such valuable investment and our planet. 麻豆原创 Green Ledger delivers precisely that.鈥�

Today, 麻豆原创 Green Ledger provides a first step for businesses to address regulatory requirements by integrating financial and environmental data. It helps companies navigate the complex global landscape of sustainability regulations, such as EU CSRD*, while establishing a scalable foundation over time, to adapt to evolving regulations such as EU ETS** and EU CBAM鈥�, as well as to international standards such as ISSB鈥犫��. The launch of the solution marks the beginning of a new era in carbon accounting systems, which are expected to significantly impact businesses worldwide as decarbonization becomes a legal and market imperative.

麻豆原创 Green Ledger was developed with support from companies such as Accenture, Deloitte, EY, PwC and TCS (Tata Consulting Services) as well as with pilot customers such as Covestro. Covestro is currently evaluating 麻豆原创 Green Ledger in an early pilot phase and testing the linking of carbon dioxide values to 麻豆原创 Green Ledger, as they are generated during the manufacture of specific products in the supply chain.

Accenture is helping organizations achieve their net-zero and sustainability targets in a rapidly evolving regulatory landscape.  鈥淎s organizations seek to gain visibility into both the financial and environmental performance of their businesses, 麻豆原创 Green Ledger can provide the sustainability metrics and insights needed to enhance decision-making that reduces emissions, drives efficiencies and optimizes performance,鈥� said Stephanie Jamison, global resources industry practice chair and global sustainability services lead at Accenture. 鈥淎s a strategic co-innovation partner, Accenture helped shape the development of 麻豆原创 Green Ledger and can apply our understanding of the technology and its capabilities to help our clients get the most for their organization.鈥�

Through its Strategic Advisory Group for Green Ledger, 麻豆原创 was able to gain insights from Deloitte鈥檚 breadth and depth of knowledge in sustainability measurement and reporting. 鈥溌槎乖� Green Ledger offers new levels of precision in carbon accounting for organizations as they track, manage and report their greenhouse gas emissions, and provides leaders with a holistic view of the costs and benefits of sustainability initiatives, enabling them to make data-driven decisions that can build business resilience,鈥� said Jennifer Steinmann, Deloitte Global Sustainability Business leader.

Deloitte is working with companies as they adopt sustainability disclosure standards and get ready for assurance. 鈥淭echnology solutions can help generate traceable, bottom-up emissions data,鈥� said Veronica Poole, Deloitte Global IFRS and Corporate Reporting leader. 鈥淟everaging the robust governance and controls of enterprise systems is needed to help organizations achieve the rigor that enhances corporate accountability and enables a move to reasonable assurance.鈥�

Norman Emmenlauer, partner for CFO-Led Sustainability at EY Business Consulting, said about 麻豆原创 Green Ledger: 鈥淭his is a solution that integrates carbon accounting into the core financial processes, making sustainability a tangible part of business operations.鈥�

Carina Schoellmann, partner for ESG Data & Tech at EY Technology Consulting, added: “This solution will help our EY clients by seamlessly integrating carbon accounting into their financial systems, enabling more informed and sustainable decision-making.”

Amy Brachio, EY global vice chair for Sustainability, pointed to the strategic nature of the topic: 鈥淪ustainability is at the heart of everything organizations do; business operations such as procurement, manufacturing and logistics are great examples. 麻豆原创 Green Ledger will enable granular and auditable data capture across the value chain, supporting organizations to transform ESG from compliance exercise to value-creation strategy.鈥�

Sameer Shah, partner at EY Technology Consulting, added: “麻豆原创 Green Ledger is a game changer for sustainability practitioners, providing the tools needed to measure, manage and report on carbon emissions with the same rigor as financial data.”

“Having participated in the pilot program, we’re excited to see the launch of 麻豆原创 Green Ledger, an essential digital approach for integrating carbon accounting and management into strategic business operations,” explained Will Jackson-Moore, global sustainability leader, PwC UK. “With 麻豆原创 Green Ledger, businesses can seamlessly align financial performance with sustainability goals, while achieving the transparency and precision needed for real-time emissions reporting and resource management. Building on this foundation, PwC is developing CSRD-ready content to enable end-to-end reporting and steering, helping organisations meet regulatory requirements, prioritise sustainability at the C-level, and drive meaningful change in environmental accountability. We’re proud to support our clients in leveraging 麻豆原创 Green Ledger to navigate complex sustainability challenges, achieve measurable decarbonisation and progress toward net-zero commitments at speed.”

麻豆原创 partner TCS has also cooperated on 麻豆原创 Green Ledger, with a focus on accelerating action to achieve carbon neutrality. TCS Enterprise Solutions Global Head Vikram Karakoti said, 鈥淲ith our participation in the pilot program for 麻豆原创 Green Ledger, TCS is embracing innovative sustainability solutions to build a better future. This will enable organizations to move beyond regulatory compliance and make sustainability a growth engine. By embedding carbon data into the enterprise planning process, organizations can unlock previously unexplored areas for growth, transformation and environmental renewal.鈥�

Visit the . Follow 麻豆原创 at .

*The (Corporate Sustainability Reporting Directive) defines the rules concerning the social and environmental information that companies have to report. It entered into force on 5 January 2023.
**The (EU Emissions Trading System) is a 鈥渃ap and trade鈥� system to reduce emissions via a carbon market. Since 2005, it requires polluters to pay for their greenhouse gas (GHG) emissions, covering emissions from the electricity and heat generation, industrial manufacturing and aviation sectors 鈥� which account for roughly 40% of total GHG emissions in the EU.
鈥烛丑别 (Carbon Border Adjustment Mechanism) is the EU’s tool to put a fair price on the carbon emitted during the production of carbon-intensive goods that are entering the EU, and to encourage cleaner industrial production in non-EU countries. CBAM will apply in its definitive regime from 2026.
鈥犫�烛丑别 (International Sustainability Standards Board) is developing 鈥� in the public interest 鈥� standards that will result in a high-quality, comprehensive global baseline of sustainability disclosures focused on the needs of investors and the financial markets.

For more information, financial community only:
Alexandra Steiger, +49 6227-7-60437, investor@sap.com, CEST

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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 2023 Annual Report on Form 20-F.
漏 2024 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 (or its affiliates) in Germany and other countries. Please see for additional trademark information and notices.

麻豆原创 Business AI is center stage at the show and top of mind for our customers. These innovations are not just about technological excellence; they’re about delivering real-world results.

Our goal is to provide clear and meaningful value with AI. More than 27,000 customers are already experiencing the substantial impact of 麻豆原创 Business AI. For example, Team Liquid, a leader in the competitive esports and gaming world, saves approximately 10,000 hours per year on manual analysis. But we鈥檙e not stopping here. With 麻豆原创 Business AI, we are both changing how businesses operate and revolutionizing how users interact with 麻豆原创 software.

Generative AI copilot Joule is rapidly becoming the natural language interface across the portfolio as we continue to embed AI across 麻豆原创 applications at an accelerated pace. Our focus on advancing AI means that customers benefit from effective solutions that drive real-world results.

Sandra Voeller, CEO of Agilita AG, agrees. 鈥淯sing 麻豆原创 S/4HANA Cloud Public Edition and 麻豆原创 SuccessFactors with Joule copilot poises Agilita to redefine industry standards,鈥� she said. 鈥淭hese tools are not just innovations; they are our future 鈥� unlocking unprecedented business agility and intelligence. I鈥檓 thrilled for the transformative journey ahead.鈥� 

We have also engaged our robust partner ecosystem with business AI to offer customers more choices to tackle their specific business needs. Over 60 ecosystem partners are working on more than 80 use cases built on AI Foundation on 麻豆原创 BTP, including the generative AI hub. This same foundation powers innovation for our development teams and customers, ensuring tailored enterprise-class AI solutions that address real business challenges and opportunities.

Dive into the latest AI capabilities and ecosystem innovations we are presenting this week at 麻豆原创 Sapphire, all aimed at delivering real-world results:

• Joule
• Human Resources
• Finance
• Supply Chain
• Procurement
• Sales, Services, Marketing, and Commerce
• IT and Platform
• Industries
• Breakthrough AI Innovations
• Responsible AI
• New Partnerships

New Business AI Capabilities and Ecosystem Innovations

Joule

Joule is transforming how users interact with 麻豆原创 business systems, making every touchpoint count and every task simpler. Business users can execute transactional tasks 90% faster and access 麻豆原创 Help Portal content 95% quicker without leaving their 麻豆原创 applications.

Since its launch in September 2023, Joule has quickly become pervasive across the 麻豆原创 portfolio, streamlining operations, improving decision-making, and boosting efficiency across various business functions. Today, Joule is already embedded in HR, finance, ERP, sales, services, marketing, and commerce applications, transforming how employees, managers, accountants, field personnel, and front-office professionals work. By the end of this year, 80% of the most frequently performed transactions across 麻豆原创 business applications will be fully automated with Joule.

Joule is also integrated with multiple components of 麻豆原创 Business Technology Platform (麻豆原创 BTP), enhancing everything from application development to integration and data management. In the second half of this year, we plan to expand Joule鈥檚 reach to supply chain management, analytics, and planning solutions through integration with 麻豆原创 Ariba, various supply chain management solutions, and 麻豆原创 Analytics Cloud. Joule will also support several additional languages, including German, Spanish, French, and Portuguese. With a multilingual Joule integrated across the 麻豆原创 portfolio, businesses around the globe will be able to work faster and smarter and achieve better outcomes.

We are also enhancing Joule with additional capabilities to help the ecosystem streamline 麻豆原创 implementations. Joule will provide consultants with vital information through natural language interactions, drawing from insights in more than 200,000 pages of product documentation and knowledge shared by the 麻豆原创 community. Once rolled out to an ecosystem of more than 5 million consultants, this capability has the potential to save up to 600 million working hours per year. This is especially critical for supporting customers transitioning to 麻豆原创 S/4HANA Cloud as part of RISE with 麻豆原创, helping them accelerate implementations and save money.

The 麻豆原创 partner ecosystem is embracing AI innovations that accelerate customer value. 鈥淲e鈥檙e embracing Joule and Joule鈥檚 麻豆原创 Consulting capabilities to help our clients build the organizational agility needed to continuously transform with a generative AI-enabled digital core,鈥� shared Lan Guan, chief AI officer at Accenture.

This capability will be available later this year.

Human Resources

Transforming HR with AI creates dynamic, inclusive, and future-ready workplaces. With Joule integrated into the 麻豆原创 SuccessFactors Recruiting solution, hiring managers can create compelling, bias-free job descriptions 90% faster, significantly enhancing hiring efficiency and outcomes.

We have also expanded Joule capabilities across the 麻豆原创 SuccessFactors HCM suite to enhance the employee experience. Employees will soon be able to get instant answers to HR policy questions and complete HR processes using natural language. Joule鈥檚 advanced document grounding capabilities will enable comprehensive responses by accessing business documents in 麻豆原创 and third-party repositories such as Microsoft SharePoint.

A new generative AI writing assistant capability helps employees draft personalized and measurable performance goals, development plans, and feedback reports more effectively and consistently. This saves employees up to 30% of the time spent crafting written communications and reduces the time people managers spend defining individualized development goals by 60%.

Managers also benefit from AI-assisted person insights that summarize complex compensation data, make recommendations, and provide talking points for discussions with employees 鈥� saving time and improving retention rates. Similarly, recruitment becomes more productive with the new AI-assisted applicant screening capability, which helps identify the most promising candidates by matching skills extracted from resumes with those in job descriptions.

These AI-driven enhancements empower organizations to build a connected, data-driven, and employee-centric workforce, leading the way in HR innovation and efficiency.

Finance

With 麻豆原创 Business AI, we鈥檙e enhancing performance across a range of financial activities, from payments and expense management to financial close, invoice management, auditing, and forecasting.

For example, financial collection departments are leveraging generative AI in 麻豆原创 Enterprise Service Management to automate processes, analyze and summarize correspondence, prioritize urgent issues, and generate automated replies. These capabilities reduce costs by up to 70% and accelerate service requests by up to 30%, enhancing customer satisfaction.

Billing specialists are now using Joule integrated into 麻豆原创 Advanced Financial Closing to unlock unstructured content from inbound customer correspondence, improving the accuracy of risk determinations. Joule also generates summaries of project profitability, prioritizes projects for further analysis, and proposes actions for project improvement. Additionally, 麻豆原创 Fiori apps now feature Joule-enabled insights, allowing the copilot to summarize available data and produce visual data narratives.

Later this year, new generative AI capabilities in 麻豆原创 Advanced Financial Closing will automate error detections and root cause analysis, helping users quickly resolve common closing errors. With up to two hours saved per error remediation, customers will be able to accelerate closing times while lowering support and compliance costs. Financial controllers will be able to also take advantage of personalized video data stories, highlighting top projects based on key metrics such as recognized revenue, utilization rates, and margins. Collections specialists using 麻豆原创 Billing and Revenue Innovation Management will be able to mitigate risk of late customer payments by analyzing customer behavior and business correspondence to predict the likelihood of delayed payments.

Integrating AI into finance helps businesses streamline processes, reduce costs, and drive meaningful business outcomes.

Supply Chain

麻豆原创 Business AI is empowering companies to create risk-resilient and sustainable supply chains. By leveraging AI, customers can increase supply chain agility and efficiency.

For instance, generative AI-powered capabilities in 麻豆原创 Transportation Management will expedite freight verification and documentation, enabling companies to achieve up to 50% faster inbound delivery note processing and reduce truck idle time at the gate by 40%. The system will automatically extract, post, and check critical information from delivery notes, streamlining the validation of freight orders.

Joule will play a crucial role in enhancing supply chain management. Later this year, supply chain planners will benefit from integration with 麻豆原创 Integrated Business Planning for Supply Chain by getting detailed analyses of planning runs. Joule will identify the root causes of order delays and suggest corrective measures. Logistics providers will be able to use Joule to expedite transportation planning and the intake of goods in 麻豆原创 S/4HANA Supply Chain for transportation management, enhancing overall logistics efficiency.

For manufacturers, 麻豆原创 Business AI will significantly improve quality management. 麻豆原创 Quality Issue Resolution will allow users to address recurring issues faster by using AI to bundle similar quality incidents and identify effective problem-solving processes. Furthermore, AI in 麻豆原创 Asset Performance Management will aid technicians, inspectors, and managers in visually inspecting asset conditions. Images collected from visual inspections will be able to be easily annotated, displayed, and compiled into inspection alerts, facilitating timely and accurate maintenance decisions.

These advancements will make supply chain management more agile, efficient, and sustainable for customers.

Procurement

With 麻豆原创 Business AI, we鈥檙e transforming procurement into a proactive, data-informed, and agile operation.

For example, AI in 麻豆原创 Ariba Category Management allows procurement organizations to reduce the onboarding time for new category managers and accelerate category strategy and planning development by as much as 56%, improving operating margins and outcomes. 

External Workforce
We have added new generative AI capabilities to the 麻豆原创 Fieldglass portfolio, enabling procurement departments to streamline the recruitment of external workers. Hiring managers can generate and maintain effective job descriptions faster, while project managers can deliver detailed statements of work more rapidly. This enables businesses to quickly identify and engage contractors with the right skills and qualifications. Job descriptions can be easily translated into 21 different languages, and a new resume-ranking capability can surface the most promising candidates, leading to as much as a 15% reduction in work orders. This flexibility allows customers to quickly react to fluctuating workloads and rapidly fill expertise gaps.

Buyer Journey
A new generative AI feature in the buying 360 capability for 麻豆原创 S/4HANA Cloud Public Edition will make procurement more intelligent, allowing buyers to bundle products and services into a single transaction. Users will be able to describe their purchasing needs using natural language, and the system will generate a recommended bundle of products and services ready for purchasing. This will save users considerable time spent searching catalogs for individual items while also enhancing the efficiency of the procurement process. These capabilities are planned for later this year.

Sourcing
By the end of the year, sourcing managers will be able to leverage intelligent product and supplier recommendations to create requests for proposals much faster with Joule integration in 麻豆原创 Ariba Sourcing . These recommendations will consider cost-effectiveness, carbon footprint impact, local compliance regulations, and past transactions, optimizing spend management performance.

Through these enhancements, 麻豆原创 Business AI is making spend management more efficient, responsive, and cost-effective.

Sales, Services, Marketing, and Commerce

麻豆原创 Business AI is revolutionizing sales, services, marketing, and commerce operations, significantly improving productivity and customer engagement. For instance, the 麻豆原创 CX AI Toolkit provides a comprehensive, configurable AI solution for e-commerce, marketing, sales, and service teams. These professionals can use it to streamline content creation tasks and analyze data from across the enterprise 鈥� with e-commerce teams experiencing productivity increases of 50%, larger average order values, and higher conversion rates.

Sales Productivity
New AI capabilities enhance the productivity of sales professionals using 麻豆原创 Sales Cloud. Sales teams can benefit from predictive forecasting, which predicts the likelihood of closing deals across the entire business portfolio. This gives chief revenue officers more comprehensive revenue forecasting, enabling better strategic decisions.

In addition, predictive recommendations will enhance sales efforts by suggesting the best people to involve in a deal and the most suitable products for each customer. This will eliminate manual extensive research on customer needs and preferences, allowing sales teams to focus on selling. AI account summaries and lead boosters will automatically generate detailed reports about sales prospects, combining company details, industry context, and relevant news. As such, we can reduce the manual effort needed for information gathering, giving salespeople more time to close deals.

Digital and User Experiences
Today, a generative AI tool builder already enables system administrators to create customized AI tools for business users leveraging data from 麻豆原创 Commerce Cloud, 麻豆原创 Sales Cloud, and 麻豆原创 Service Cloud solutions. These tools can help personalize content to meet specific customer experience needs.

By the end of this year, 麻豆原创 CX AI Toolkit will also introduce new AI features to enhance customer interactions. An AI shopping assistant will allow shoppers to ask questions using everyday conversational language and receive accurate product information and personalized product recommendations on sites powered by 麻豆原创 Commerce Cloud. This will enable consumers to find products faster and improve their overall shopping experience.

麻豆原创 CX AI Toolkit will make marketing and sales teams more productive. Later this year, a new image creation feature will allow business users to generate new product images for their 麻豆原创 Commerce Cloud catalog using natural language prompts, significantly reducing image production times. They will also benefit from an AI expert recommendations feature, which will identify experts within their organization who can provide needed answers and insights. Instead of wasting time browsing through emails and organizational charts, these professionals will be able to use natural language to express their needs and instantly find the right experts. This capability will be generally available later this year.

These advancements in 麻豆原创 Business AI are transforming sales, services, marketing, and commerce operations, making them more efficient, personalized, and successful.

IT and Platform

麻豆原创 Business AI embedded in 麻豆原创 BTP empowers IT professionals and business experts to extend 麻豆原创 solutions and drive faster, better decision-making throughout the enterprise while accelerating customers鈥� digital transformations.

For example, professional developers are leveraging generative AI capabilities in 麻豆原创 Build Code to accelerate application development by 30%. They can generate data models, services, and samples with a few simple prompts and use natural language to automate business logic and testing.

Application Development
Joule continues to increase developer productivity and simplify the extension of 麻豆原创 applications. Integration with ABAP Cloud will revolutionize the work of the 5 million-strong ABAP developer community, accelerating the development of extensions that interact with 麻豆原创 S/4HANA Cloud Public Edition, 麻豆原创 S/4HANA Cloud Private Edition, and 麻豆原创 BTP, ABAP environment. Trained on over 250 million lines of ABAP code, Joule will be able to outperform industry-leading general-purpose code assistants. We expect more than 10% efficiency increase, based on initial studies and benchmarking. Early adopters are using this innovation to generate ABAP business objects and will soon be able to complete and explain code and create unit tests. The first capabilities will become available later this year.

Joule continues to strengthen 麻豆原创 Build Code capabilities by enabling developers to use generative AI to quickly build 麻豆原创 Fiori front ends for 麻豆原创 S/4HANA Cloud, greatly simplifying clean-core extensions.

These advancements in 麻豆原创 Business AI are empowering IT professionals and business experts to innovate faster, streamline operations, and drive meaningful business outcomes.

Process Innovation
We are continuously strengthening 麻豆原创 BTP with new AI capabilities that accelerate process innovation. Joule integration with 麻豆原创 Build Process Automation empowers process experts to generate automation and workflows using natural language requests without IT intervention. Similarly, Joule integration with the 麻豆原创 Signavio portfolio enables users to leverage natural language requests to generate process models. By empowering users with varying levels of expertise to innovate, customers can accelerate time-to-value and free IT professionals to focus on more strategic tasks.

Process AI solutions from 麻豆原创 Signavio introduce a new collection of generative AI capabilities trained on a large language model (LLM) comprised of expert business process knowledge and more than 5,000 麻豆原创 best practices. Later this year, the process recommender feature will provide ready-to-use, AI-generated business process model recommendations and suggest the most influential measures to assess the performance of a business process. This will offer vital insights into streamlining operations and reducing overhead. A prompt-based process mining feature will automatically generate business-relevant charts and metrics in response to natural language requests for business insights, dramatically lowering the effort for business users who need answers to complex business questions.

Integration
System integration is foundational to the success of enterprise automation initiatives and effective ecosystem collaboration, but connecting heterogeneous systems inside and outside the enterprise is an onerous task. Later this year, developers will be able to take advantage of Joule integration with 麻豆原创 Integration Suite and use natural language to accelerate the design of integration flows across 麻豆原创 and third-party applications.

A new AI-powered anomaly detection capability will recommend remedial actions when API usage patterns or performance fall outside desired thresholds due to unusual errors, traffic surges, suspicious API access, or unusual latency. With performance insights and support for identifying causes and effects, administrators of complex technology landscapes will be able to act faster, achieving greater operational efficiency at a lower total cost of ownership.

Content Creation and Compliance
IT administrators, training managers, and content developers will be able to cut the time spent writing content by up to 20% with automatic content generation and enrichment in 麻豆原创 Enable Now. Customers use the digital adoption platform to improve the adoption, productivity, and efficiency of their software by providing in-application help and e-learning content to users. New generative AI capabilities will add to this value, enabling companies to free up resources for more critical tasks and accelerating knowledge transfer within organizations.

Compliance and IT professionals can leverage Joule for enhanced productivity and precision. Joule integration with the new regulatory change manager tool on 麻豆原创 BTP enables these professionals to evaluate numerous regulatory updates within the context of their business and 麻豆原创 solutions. With insights and quick answers on the typically more than 1,000 annual regulatory changes, users can save 70% of the time usually spent on understanding local and global regulations. The tool provides impact analysis across 麻豆原创 products and solutions, helping customers maintain compliance and seamlessly manage their day-to-day operations. Compliance and IT professionals can also use AI in localization as a self-service for 麻豆原创 S/4HANA Cloud to automate tasks such as payment format localization and form localization, reducing processes that once took days to just a few hours.

Administration
With Joule integrated in 麻豆原创 BTP cockpit, administrators can automate tasks and onboard new users more easily. They can search for information 95% faster and execute transactional tasks or navigation 90% more quickly. The business impact is substantial, as the cockpit helps these professionals manage resources, services, and security, monitor application metrics, and perform actions on cloud applications.

Redefining the capabilities of IT and platform management positions 麻豆原创 customers at the forefront of technological advancement and operational excellence.

Industries

麻豆原创 is delivering trusted AI and machine learning across industries to manage complexity, overcome challenges, and help customers modernize. AI-driven solutions empower businesses to streamline operations and focus on strategic outcomes, driving significant value in their respective fields.

Oil, Gas, and Energy, Agribusiness, and Metals and Mining
Commodities traders and business operators will soon be able to eliminate repetitive data entry tasks with 麻豆原创 S/4HANA for commodity management for physical contracts. With Joule, business operators will be able to create new commodities deals by simply describing the deal using conversational language. Planned for later this year, the capability will allow traders to focus more on producing better commercial outcomes for their clients rather than getting bogged down by administrative tasks.

Industrial Manufacturing
Sales engineers in the manufacturing sector will benefit from more precise product configuration recommendations for complex, configurable products through 麻豆原创 Intelligent Product Recommendation. By simply describing requirements in natural language, sales engineers can generate tailored recommendations that better meet customer needs. Generative AI services can analyze text from diverse sources, such as emails and notes captured in 麻豆原创 Customer Experience solutions or multi-page specification documents such as request for proposals or requests for quotations. 麻豆原创 Intelligent Product Recommendation also provides suggestions based on estimated parameters for lead times and CO₂ footprints, enhancing accuracy and efficiency of product configurations, and ultimately improving customer satisfaction and operational efficiency.

Public Sector and Higher Education
Later this year, Joule will be enhanced with budget and grant management business context for the public sector, higher education, and research industries. With this new context awareness, Joule will streamline and improve the user experience for these regulated industries, enabling users to navigate their financial systems more efficiently and make better strategic decisions. For example, 麻豆原创 S/4HANA users will be able to ask Joule for definitions, summaries, or how-to guidance, saving time and reducing the demand on IT departments. This enhancement will help government organizations and higher education institutions manage their budgets and grants more effectively, reducing extensive training typically required during financial system rollouts.

Breakthrough AI Innovations

麻豆原创 is pushing the boundaries of AI with the new 麻豆原创 Foundation Model for structured data, investing in this cutting-edge AI technology to unlock the value of generative AI technology advancements for structured business data. The goal is to deliver a foundation model that is business-centric by design, providing actionable, job-specific insights directly within 麻豆原创 applications customers use daily.

Traditional AI models require significant effort, expertise, and training data to handle specific tasks on structured data effectively. In contrast, we are developing 麻豆原创 Foundation Model to adapt to multiple use cases with minimal or no fine-tuning. Ultimately, we aim to bring the same transformative power to structured business data that LLMs have brought to text. While LLMs like GPT-4 excel with unstructured text and images, they struggle with the structured data typical in enterprises, often performing between 20 to 50% worse than narrow AI methods. 麻豆原创 Foundation Model will bridge this gap, focusing on structured business data to deliver more accurate predictions and insights while maintaining the versatility of foundation models.

Early benchmark tests are promising, showing 麻豆原创 Foundation Model outperforming narrow AI models by up to 15% on customer datasets after a quick fine-tuning round. This superior performance, combined with its deep understanding of complex business processes, promises to enable businesses to reap the rewards of AI faster and more efficiently.

With 麻豆原创 Foundation Model, we aim to set a new standard for AI in the business domain, transforming how enterprises leverage data to achieve remarkable outcomes. .

Responsible AI

At 麻豆原创, innovation goes hand in hand with responsibility. We are committed to ensuring that AI technologies are not only innovative but also ethical, secure, and sustainable. The strategic use of business data is integral to the success of AI, and by leveraging business data responsibly, we not only enhance the capabilities of AI solutions but also improve outcomes for customers.

麻豆原创 remains firm in its commitment to prioritize data privacy and security as it releases new AI capabilities. The same rigorous standards that govern all 麻豆原创 product development extend to AI offerings. Strong security, product, and data privacy protocols are applied to help ensure AI solutions are developed responsibly, with all AI use cases reviewed by an AI ethics committee.

Building on the fundamental dedication to responsible AI that we started back in 2018, this year, 麻豆原创 is proud to further the commitment by affirming the 10 guiding principles of the UNESCO Recommendation on the . These principles cover proportionality, safety, fairness, sustainability, privacy, human oversight, transparency, responsibility, awareness, and multi-stakeholder collaboration, ensuring that AI solutions respect human rights and contribute to sustainable development.

In line with this commitment, sustainability is a key pillar of 麻豆原创鈥檚 corporate strategy. We are determined to harness the benefits of AI while minimizing its energy footprint and helping customers manage theirs. For example, a new AI-enabled capability in 麻豆原创 Sustainability Footprint Management enhances the accuracy and speed of carbon footprint calculations through automated, intelligent emission factor mapping recommendations, reducing manual effort and improving precision.

By integrating responsible AI practices into innovations, we continue to drive meaningful and sustainable business outcomes for customers.

New AI Partnerships

The vast 麻豆原创 partner ecosystem is fully engaged with 麻豆原创 Business AI. Leading up to and at 麻豆原创 Sapphire, we have announced groundbreaking new and expanded partnerships to accelerate AI adoption across business processes:

• Accenture: Accenture and 麻豆原创 are helping clients transform business models, processes, and customer and employee experiences while realizing value through data and AI. This year at 麻豆原创 Sapphire, Accenture is announcing its plans to embrace the consulting capability for Joule and ABAP code generation in compressed cloud ERP transformations. Additionally, Accenture and 麻豆原创 are teaming on 麻豆原创 Signavio and 麻豆原创 LeanIX solutions to help customers with insights, governance, and other capabilities to achieve their transformation outcomes.
• Apple:We are聽deepening聽 our partnership with Apple to revolutionize the boardroom with AI聽and spatial computing. By integrating Apple Vision Pro with聽business applications from 麻豆原创,聽users can聽create聽an infinite聽enterprise workspace, and聽navigate tasks using聽their eyes, hands, and voice. 麻豆原创 has launched apps like 麻豆原创 Mobile Start and 麻豆原创 Analytics Cloud,聽giving users the ability to create a spatial boardroom to visualize their entire enterprise.聽Now, with 麻豆原创 Build Code, customers can easily bring their 麻豆原创 apps to Vision Pro, iPhone, iPad, and Apple Watch.聽麻豆原创 is also leveraging the power of Apple鈥檚 Neural Engine to run 麻豆原创 AI workloads securely and privately on Apple devices, supercharged by 麻豆原创 BTP.
• Amazon Web Services (AWS): AWS and 麻豆原创 announced an expanded, strategic collaboration to transform modern cloud ERP experiences and help enterprises drive new capabilities and efficiencies with generative AI. Together, 麻豆原创 and AWS are striving to make it easier for customers to adopt RISE with 麻豆原创 on AWS, to improve the performance and efficiency of 麻豆原创 workloads running in the cloud, and to embed generative AI into an enterprise鈥檚 entire portfolio of business-critical applications.
• Boston Consulting Group (BCG): BCG , which recommends opportunities to maximize transformation investments using 麻豆原创 Signavio and 麻豆原创 LeanIX solutions. The offering allows companies to navigate continuous change and prioritizes ways to onboard AI-based innovations.
• Google Cloud: We have better predict and mitigate supply chain risk. The expanded partnership begins by enabling marketing and sales departments to understand the impact of their campaigns on product sales, thus increasing forecast accuracy. This is achieved by integrating Joule and 麻豆原创 Integrated Business Planning for Supply Chain with Google鈥檚 Gemini AI assistant and Google Cloud Cortex Framework鈥檚 Data Foundation. By capturing previously hard-to-detect demand signals, companies can react faster and make more informed, agile decisions in a dynamic global market.
• Meta: We are expanding our partnership with Meta by integrating Meta’s Llama 2 and Llama 3 models into the generative AI hub within 麻豆原创 AI Core as part of our business AI strategy. This integration will allow customers to create dashboards based on rich content with Llama’s qualitative conversational outputs and explore use cases built with Meta Llama 3. The wide range of capabilities offered by Meta Llama 3 will enable users to get assistance with key activities, including the auto-generation of custom scripts to extend dashboards, and the delivery of the most accurate scripts directly in 麻豆原创 Analytics Cloud.
• McKinsey & Company: McKinsey has . Value Finder rapidly analyzes and prioritizes thousands of potential process optimization opportunities for clients 鈥� using a proprietary McKinsey and 麻豆原创 technology portfolio with generative AI 鈥� to capture measurable productivity, growth, and asset efficiency benefits enabled by 麻豆原创 S/4HANA transformations.
• Mistral AI: 麻豆原创 will add new LLMs from Mistral AI, a global company headquartered in Paris specializing in generative AI, to its growing corpus of world-class AI models in generative AI hub. This addition to 麻豆原创 AI Core will make it easier to build generative AI use cases for 麻豆原创 applications.
• NVIDIA: We are for next-generation business operations. ABAP developer capabilities and consulting capability in Joule will take advantage of the NVIDIA AI Enterprise software platform, including NVIDIA NIM inference microservices. NVIDIA NeMo Retriever, a collection of generative AI microservices, will connect AI applications with proprietary data, improving the accuracy and relevance of AI responses. We are also integrating NVIDIA Omniverse Cloud APIs into 麻豆原创 Intelligent Product Recommendation, enabling salespeople to visualize 3D products via digital twins in real time. This integration optimizes the sales process for complex products, helping customers make more informed decisions faster than ever.

To learn more about how 麻豆原创 Business AI delivers real-world results, visit the .

Philipp Herzig is chief artificial intelligence officer of 麻豆原创.

And it all starts with value and elevating IT for the AI era with a strong and secure digital core. This includes emphasis on adopting ready-to-scale AI models, a modern data foundation, and a flexible AI architecture that supports the use of multiple foundation models to future-proof organizations from the evolution of technology and model changes.  

According to , 40% of C-suite leaders believe their organization will fully scale generative AI enterprise-wide in six to 12 months. Currently organizations are scaling generative AI in select business areas either extensively (56%) or in a limited way (nearly 30%). Only 10% say they have scaled generative AI with extensive adoption across their entire enterprise, and just 13% are 鈥渆xtremely confident鈥� they have the right data strategy and core digital capabilities in place to effectively leverage generative AI.  

That鈥檚 why organizations are increasingly turning to 麻豆原创 and its partners to help them completely transform their business, and why 麻豆原创 and Accenture are working together to help their customers make 麻豆原创 Business AI and data their number one competitive advantage.

Accenture Embraces 麻豆原创 Business AI to Advance Business Outcomes

By Marc-Oliver Klein and Stephanie Guimbellot

麻豆原创 and Accenture have been collaborating and working with customers on technology evolution for over 40 years, using their unique strengths to help industries transform and lead in the market.

As AI is integrated into business applications, it is unleashing new levels of productivity and creativity while forging a path to the future that is different and faster than any previous technology wave.

For many clients, 2023 was a year of experimentation with generative AI. In 2024, we鈥檙e focusing on helping clients realize value at scale by going after the business potential in enterprise data with AI, strengthening digital core with embedded AI capabilities, enhancing business functions with AI insights, and accelerating revenue growth with 麻豆原创 Business AI offerings like Joule, generative AI hub, 麻豆原创 Datasphere, and 麻豆原创 HANA Cloud vector engine.

鈥淚n partnership with 麻豆原创 and its customers, we鈥檙e emphasizing must-dos for the C-suite,鈥� said Lan Guan, chief AI officer at Accenture. 鈥淭hat includes leading with value, investing in a digital core, nurturing talent, practicing responsible AI, and committing to continuous reinvention. This is how you capitalize on AI鈥檚 inflection moment strategically.鈥�

And with Joule, business process reinvention and change adoption in cloud ERP just got easier through new capabilities to boost IT and business user experiences. Accenture plans to embrace the consulting capability for Joule and ABAP code generation in compressed cloud ERP transformations and will collaborate on the consulting capability for Joule with a team of AI experts and prompt designers to facilitate relevant user responses aligned with 麻豆原创 industry best practices and clean core strategies.

鈥淥ur ecosystem plays a critical role in helping our customers adopt 麻豆原创 Business AI to get immediate value from these exciting new technologies and solutions,鈥� said 麻豆原创 Chief AI Officer Philipp Herzig. 鈥淲e very much value our long-standing partnership with Accenture. They have long been an important partner in the industry for bringing innovation to our joint customers, now also by activating 麻豆原创鈥檚 embedded AI capabilities, including Joule, and building customer use cases on 麻豆原创 Business Technology Platform with 麻豆原创 AI Core and generative AI hub. I look forward to our continued collaboration and the outcomes that generative AI will deliver in both business transformations and operations for our customers.鈥�

Accenture is already working on various use cases that leverage 麻豆原创 Business AI offerings, and the company continues to take an early leadership position in 麻豆原创 Business AI.

• 础肠肠别苍迟耻谤别鈥檚 , an 麻豆原创 2024 Innovation award winner, uses 麻豆原创 AI core and large language models (LLMs) to deliver untapped financial value in financial ledgers and transactions. It is helping Accenture business and finance leaders reduce decision-making time by 15%, reduce financial narrative efforts by 60%, and mitigate risks with real-time financial data insights, including 13,000+ user alerts per month.
• 础肠肠别苍迟耻谤别鈥檚 uses AI models to enable intelligent, responsive, and risk-resilient supply chains to help clients manage disruptions, identify improvements, and resolve issues. The nerve center uses 麻豆原创鈥檚 generative AI hub and 麻豆原创 Business Technology Platform, which connects to an LLM fully integrated with 麻豆原创 S/4HANA Cloud, 麻豆原创 Integrated Business Planning, and 麻豆原创 Intelligent Asset Management.

Accenture is also evolving its assets and platforms including GenWizard, SynOpps, and AI Navigator for Enterprise to help clients move to cloud ERP faster and achieve earlier business outcomes.

Make Decisions Easier with 麻豆原创 Business Transformation Solutions and Large Process Models

By Hartmut Poppinga and Jos茅 Mor谩n Moya

麻豆原创 and Accenture are teaming on 麻豆原创 Signavio and 麻豆原创 LeanIX solutions to help customers with the quantitative insights they need to get alignment and buy-in on cloud ERP and the foundation to tap into the full value of generative AI.

The combined power of 麻豆原创 and Accenture is helping customers examine business processes at every level of the organization, establish what works, discard what doesn鈥檛 and use their own data to create a business case and measure success and value over time. 麻豆原创 is helping with foundational implementation and Accenture teams are providing analysis, insights, advisory and process modeling. This collaboration is significantly reducing the time it takes clients to complete current state and gap analysis to get to value faster.

鈥淭he long-standing partnership between Accenture and 麻豆原创 is characterized by delivering successful transformation outcomes to our mutual customers,” said Mani Pirouz, chief business officer of 麻豆原创 Signavio and LeanIX. 鈥淭hrough our joint offerings we help companies become agile, resilient, and intelligent enterprises. 麻豆原创 Signavio plays a crucial role in transformations by providing insights, collaboration, governance, and execution capabilities for continuous process improvements. These allow companies to unlock business value above and beyond their technical road maps.鈥�

麻豆原创 and 础肠肠别苍迟耻谤别鈥檚 focus is grounded in a value-led method, cloud ERP business case, and road map that takes a holistic approach to an organization鈥檚 full value chain and helps customers:

• Understand the potential to reinvent the value chain and develop end-to-end capabilities powered by generative AI and new ways of working
• Be value-led in every business capability chosen to reinvent with generative AI
• Identify strategic bets where the technology creates differentiated sources of value that cannot be easily captured by competitors
• Reorient the organization from siloed functions to end-to-end business capabilities and decision-making through a unified data architecture and cross-functional teams

鈥淐ombining 础肠肠别苍迟耻谤别鈥檚 deep industry expertise with 麻豆原创 solutions helps clients define and realize value in a systematic way,鈥� said Caspar Borggreve, senior managing director and lead of Accenture 麻豆原创 Business Group. 鈥淭his is about shifting the focus from siloed use cases to a holistic look at industry value chains to prioritize investments, achieve efficiencies, benefit from generative AI, and scale competitiveness.鈥�

Learn more about . 

By Martin Heinig

Digital technology advancements in augmented and virtual reality as well as in artificial intelligence (AI) over the last decade have provided an incredible ability to capture and hold our collective imaginations. These technologies have transcended beyond the hype by offering immediately clear and convincing use cases for enterprises that bridge the physical and digital divide.

For example, AI-powered digital twins could provide incredible future-focused insights with simulations to anticipate and prevent supply chain disruptions. Employee onboarding could be individually tailored and optimized to deepen human connection in a hybrid world.

Immersive technologies are a broad umbrella that includes extended reality — virtual, augmented, mixed– 3D displays, spatial audio, gesture recognition, spatial sensing, speech recognition, haptics, and the metaverse. With the metaverse , these continuums of experiences and technologies have the potential to shape how customers and employees engage with businesses. That鈥檚 why organizations are increasingly turning to 麻豆原创 and its partners to help them completely transform their business.

The 麻豆原创 and Accenture Partnership

To support our mutual customers, 麻豆原创 and Accenture have teamed up to create immersive experiences and business models that are built on (麻豆原创 BTP), which offers future-ready interfaces contextualized with business data and processes. Combining immersive services on 麻豆原创 BTP with 础肠肠别苍迟耻谤别鈥檚 technology vision, proven methodologies, industry experiences, and skilled practitioners, organizations could pilot and scale solutions with trusted partners.

With these services, organizations can offer digital experiences that can enrich employees鈥� onboarding, attract digital native talent, and empower users to operate more collaboratively and unlock efficiencies like never before.

Immersive services on 麻豆原创 BTP could support customers to leverage their 麻豆原创 business capabilities and data to capture value through differentiated business models and experiences. 础肠肠别苍迟耻谤别鈥檚 expertise in immersive application development, industry expertise, and innovation methodologies will help customers realize and scale end-to-end immersive applications in every industry.

Watch to learn more about the 麻豆原创 and Accenture partnership:

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As the two companies continue their collaboration, customers can benefit from this partnership by exploring the following high-value use cases.

Hybrid Business Steering

Hybrid business steering empowers enterprises to manage and optimize their business collaboratively by enabling analytics, outcome simulations, and next-gen human-computer interactions on digital twins across the entire company business landscape. The intent of the is to enable users to:

• Interact with data more intuitively and operate assets safely in an immersive and engaging digital experience
• Proactively monitor asset health and predict potential asset downtime
• Visualize the movement of goods through a supply chain network in real time, zoom in on specific data points, and manipulate data using virtual tools and interfaces
• Simulate different scenarios and assess the impact of business decisions before implementing them in the real world

The hybrid business steering use case demonstrates how customers could consume 麻豆原创 data more easily and leverage their existing 麻豆原创 landscape for immersive business applications.

Digital twins are increasingly being used in a wide range of asset intensive industries, including industrial manufacturing, automotive, energy, aerospace, and construction. They are an important tool for developing and testing new products and systems before they are built — saving time and money while reducing risk.

Augmented Employee Experience

Bridging the physical and digital world is what makes employee experiences like onboarding and mergers and acquisitions strong use cases for immersive technologies. Organizations with a strong onboarding process average . Despite these benefits, only say their company does a 鈥済ood job鈥� of onboarding. The helps employees to:

• Experience the company culture, mission, organizational structure, and team
• Tour office facilities in the digital campus
• Learn from leaders with role-specific questions
• Upskill on new products and projects with self-paced immersive learning
• Meet colleagues in a fun way

Importantly, employees can move at their pace. As part of their hyper-personalized and contextualized onboarding experience, they can learn and re-learn, ask as many questions as needed until they are familiar — all in a fascinating virtual environment that can be configured to suit their personal needs.

Organizations benefit from making it easier to onboard employees, reducing onboarding time and costs. The impact continues as existing employees grow, get promoted, and transfer between departments. This also helps businesses retain valuable and experienced talent within the organization and during mergers and acquisitions.

The augmented employee experience use case shows how employees could explore an organization, meet colleagues, and learn role-based skills in a safe environment while saving time and costs and increasing employee health and safety.

Customers and partners interested in early access can contact icn@sap.com.

Martin Heinig is head of 麻豆原创 New Ventures & Technologies.

Accenture and 麻豆原创 Collaborate to Deliver Transparent, Resilient and Sustainable Supply Chains on 麻豆原创 Business Network

By Sankar Kaliaperumal and Muhammad Alam

Accenture and 麻豆原创 have expanded their strategic relationship to focus on the accelerated delivery of transparent, resilient, and sustainable supply chains across key industries on . The collaboration aims to offer customers increased transparency and visibility across assets and inventory, as well as faster value realization with 麻豆原创 Business Network.

Ongoing disruption has taken its toll on the global supply chain. In response, organizations have invested heavily to boost inventory, processes, and capacity. In fact, reveals that 61% of chief supply chain officers say they鈥檝e been applying new technologies, ways of working, and AI in order to reinvent core processes, And 60% say they will be reinvesting in these areas over the next two years.

The opportunity now is to create synergies and efficiencies between processes and stakeholders and to unify all the points of interaction and integration. By doing so, organizations can collaborate, connect, transact, and partner on shared processes and information with trading partners across the supply chain.

With this in mind, Accenture and 麻豆原创 are helping extend the power of the 麻豆原创 Business Network with new capabilities, assets, and accelerators for:

• Logistics: Capabilities to collaborate with carriers, track goods in transit, and capture and validate data related to emissions and product genealogy help to ensure that trading partners are operating in a sustainable way
• Procurement: Responsible sourcing capabilities monitor for suppliers鈥� compliance with metrics and values in the network
• Supply Chain: Business to business (B2B) integrations support cross-industry supply chain processes and create specialized solutions for supply chain planning, purchase order collaboration, and quality management processes
• Asset Management: Intelligent capabilities optimize asset performance by using data in a central repository that shares information with equipment, asset operators, manufacturers/OEMs, and suppliers, which increases trust and collaboration between parties and results in faster completion of maintenance and repairs with fewer errors, improving the availability of the asset

鈥淪upply chains of the future require , enabled by data and a strong digital core,鈥� said Caspar Borggreve, senior managing director and lead of the Accenture 麻豆原创 Business Group. 鈥湸〕ΤΡ鸩猿俪馨疴�檚 deep expertise in supply chain management, 麻豆原创 Business Network capabilities, transformation strategies, and leading industry practices can help our clients realize value faster with future-ready supplier networks that bring new into operations, increase agility, and reduce sustainability risk.鈥�

One organization that realized value faster from increased supply chain resiliency and its ambitious procurement transformation is , an energy technology company that provides solutions to energy and industrial companies worldwide.

鈥淏aker Hughes鈥� partnership and collaboration with Accenture and 麻豆原创 played a big part in the successful transformation of our procurement operations and supplier enablement in 120 countries,鈥� said Sharad Mantri, senior director and global IT leader at Baker Hughes Company. 鈥淎ccenture helped us establish a modern and integrated technology infrastructure to simplify procurement processes and increase supply chain transparency and resiliency.鈥�

Customers like Baker Hughes benefit from Accenture and 麻豆原创鈥檚 combined knowledge, resources, global presence, and unique ability to scale with multiple and parallel projects going live simultaneously. For supply chain transformations, Accenture and 麻豆原创 leverage a wide range of capabilities, use cases, assets, custom prototypes, preconfigured solutions, and purpose-built accelerators for focused industries in consumer packaged goods, high-tech, and manufacturing.

Sustainability and resiliency are top of mind for companies across all industries, which is creating a sense of urgency for a solution like 麻豆原创 Business Network. Working together with Accenture, 麻豆原创 is helping customers address common industry-specific needs and challenges with the largest and most comprehensive business network, trusted by millions of companies around the world.

Accenture was recently honored with the 2023 麻豆原创 Pinnacle Award for Cloud Business Transformation 鈥� Sales Success and 麻豆原创 Global Intelligent Spend and Business Network Partner Excellence Award 2022聽 for Sales Success 鈥� Large Enterprise.

Sankar Kaliaperumal is managing director of the ACN Technology practice and North America 麻豆原创 Ariba Lead at Accenture.
Muhammad Alam is president and chief product officer for Intelligent Spend and Business Network at 麻豆原创.

To keep their competitive edge in the job market, professionals need to upskill and reskill in increasingly shorter intervals, but numbers show that . At the same time, traditional education is losing relevance in many industries, with organizations increasingly moving away from a sole focus on university degrees. Instead, short courses, certifications, and practical skills have become increasingly important.

Recognizing the need for transparency around proven project expertise, 麻豆原创 enhanced its established skill validation program for 麻豆原创 professionals. The company is paving the way for individual career growth and business success by introducing a record of project experience in a pilot with first partners like Accenture and IBM.

We believe the enhanced visibility of practical experience can benefit well seasoned 麻豆原创 professionals and set them up for success. In addition to their 麻豆原创 Certification, a record of project experience can help expand competitive edge and, ultimately, foster career growth. Recent reports show that . The same report states that 81% of certified employees produce higher quality work, while 77% are more innovative.

鈥淭he record of project experience can help the 麻豆原创 ecosystem drive success by making the practical and successful project expertise of professionals visible,鈥� says 麻豆原创 Chief Learning Officer Max Wessel. 鈥淭ens of thousands of customers have deployed 麻豆原创 software to thrive in the cloud, leading to a skyrocketing demand for skilled people. With the record of project experience, partners can benefit from a tailored recognition of expertise past the certification and a higher employee retention rate. Customers can expect high-quality projects and fast implementation. And 麻豆原创 professionals have the chance to put themselves in the lead on the job market. It鈥檚 a true win-win situation for all.鈥�

麻豆原创 partners oversee almost 90% of all 麻豆原创 implementations, representing a huge pool of talented and experienced 麻豆原创 professionals. This new approach adds the validation of practical experience and 麻豆原创 expertise. It supports 麻豆原创’s mission to address the shortage of digital skills in the partner ecosystem. Newly certified consultants will provide support in cloud computing, digital transformation, and analytics to improve the quality of services offered by 麻豆原创 partners to their customers.

Professionals are eligible if they have customer references showing the applied and certified skills. The record of project experience is awarded to nominated advanced 麻豆原创 professionals with a track record of expertise in the public edition of 麻豆原创 S/4HANA Cloud or 麻豆原创 Business Technology Platform (麻豆原创 BTP), who also demonstrate a valid 麻豆原创 Certification in one of these 麻豆原创 solution areas.

Co-validating expertise strengthens an employee’s position, leads to higher employee retention for employers, and gives customers the confidence that fast implementations and high-quality projects are on the way. That鈥檚 a triple win.

To learn more, visit the .

Steffen Burger is senior vice president of Partner Solution Adoption for Partner Ecosystem Success at 麻豆原创.

As 麻豆原创 partners have accelerated their adoption of (麻豆原创 BTP), they鈥檝e also identified new revenue streams as they accelerate their customers鈥� transitions to the cloud 鈥� leveraging its cloud services to help improve business process efficiencies as well as provide a single source of truth and an end-to-end view of operations with real-time visibility into company performance.

Let鈥檚 take a closer look at how customers, working with 麻豆原创 partners and through 麻豆原创 BTP, have been able to proactively reduce unexpected downtime, innovate with real-time data, and enhance their own customers鈥� experience 鈥� evolving from a reactionary business model to one of growth.

Leveraging 麻豆原创 BTP to Reduce Customer Unexpected Downtime

Motor Oil Group, an industry leader in crude oil refining and the sales of petroleum products across Greece and the Eastern Mediterranean region, sought 麻豆原创 partner 鈥檚 help in that could reduce unexpected and costly shutdowns of critical refinery equipment 鈥� a key business goal.

Working with Accenture, Motor Oil Group launched a successful predictive maintenance pilot on 麻豆原创 BTP, which provides a complete view of Motor Oil Group鈥檚 refinery equipment. This gives the company a holistic view, leveraging real-time data to inform critical business decisions, from building predictive models for abnormal events based on sensor data to providing results through user-friendly dashboards and e-mail notifications. With the combined power of 麻豆原创 HANA Cloud, 麻豆原创 Extension Suite, and 麻豆原创 Analytics Cloud, Motor Oil Group experienced a 77% increase in explaining abnormal events, 120 to 20 hours in advance of downtime.

Delivering Insights through Real-Time Data

Our partners are also monetizing 麻豆原创 BTP with outcomes that help customers rapidly innovate with data. For example, through working with , SunRice, an Australian consumer products company, from its investment in 麻豆原创 solutions by extending existing systems and adding additional capabilities as well as integrating external data sources using 麻豆原创 BTP. With a new portal and a harvest dashboard, the company was able to give its community of rice growers more control over their decision-making by providing data visualization for harvest moisture, trash, and dry weight, providing quick and easy tracking of key functions.

Having access to data is critical, but without the ability to interpret that data, organizations fail to optimize their strategy. One of our customers and a European market leader in graphic recycled paper, Steinbeis Papier GmbH, using 麻豆原创 BTP to quickly turn its factory sensor information into insight, allowing the company to gain strategic and operational benefits. With help from , Steinbeis Papier established one source of data truth, consolidating its IT and operations system environments. By using digital assistants for production monitoring and alerting along with self-service tools to access business intelligence, the company created real-time dashboards on the production line.

麻豆原创 BTP Enables Partners to Deliver a Stronger Customer Experience

麻豆原创 BTP partners can develop their own IP and bring value to end customers to enhance the customer experience by delivering future-ready portals for business-to-business (B2B) customers. This is exactly what our partner was able to do. With multiple customer wins under its belt, delaware has demonstrated the power of 麻豆原创 BTP in simplifying processes and achieving great business results. For example, a customer supplying blood pressure monitors was struggling to manually supply each patient with their serial number. To solve for this, delaware created a one-time-use business-to-consumer (B2C) portal. The portal is now the centerpiece of a completely digitized process that allows the patient to submit their serial number and keep everything logged in one place, without the need for e-mail communication.

Similarly, assisted a leading technology communications customer, Vodafone, in to realize rapid results. With issues linking online prospect activities with lead, sales, and activation data, Vodafone used 麻豆原创 BTP to provide secure and tailored data access for different levels of stakeholders. By automating and streamlining its data operations, Vodafone gained a new way of getting the insights needed to strengthen its marketing capabilities and offer more valuable insights to stakeholders.

麻豆原创 BTP enables our partners to create monetization opportunities to add value and introduce their own IP as they solve their customers鈥� most pressing business issues and drive innovation. We鈥檝e seen many partners leverage 麻豆原创 BTP鈥檚 data-driven predictive analytics to lower costs and address potential problems before they even occur, and we鈥檙e excited by the new use cases our partners are delivering to their customers through 麻豆原创 BTP.

about how our partners, with 麻豆原创 BTP, are helping customers to accelerate innovation, bring data sources and processes together, provide early visibility into shifting landscapes, and adopt a more proactive business model focused on growth.

Camilla Dahlen is global vice president of 麻豆原创 BTP Monetization for 麻豆原创 Partner Ecosystem Success.

As employees know, the reality of working from home is鈥� going pretty well, actually. Most of us are still working in our basements, sheds, or spare rooms while monitoring our Wi-Fi connectivity, adjusting our work hours to meet with trans-global colleagues, devising a smarter , and advancing our digital fluency to make use of new productivity tools and apps. Overall, we鈥檙e happier and healthier, as study after study confirms.

The Future of Work Is Not Location Bound

When asked about their preferred work model for the , of workers said they want a hybrid work arrangement, according to the by . In the study, Accenture interviewed more than 9,300 workers in 11 countries across 12 industries to understand workers鈥� mindsets toward three different work models 鈥� on-site, remote, and hybrid 鈥� and the resources they require for their health and productivity.

Published at the height of the pandemic in April 2021, the study classified employees into four mindsets along a spectrum: thriving (42%), ambivalent (12%), apathetic (15%), or disgruntled (31%). While those who were disgruntled worked largely on-site, those employees who were thriving were mostly working in hybrid arrangements. They experienced less burnout and reported feeling across six dimensions of well-being: financial, emotional and mental, relational, physical, purposeful, and employable.

Three years into the pandemic, we are now capable of managing the virus with vaccines. Despite existing research on work models, many employers continue to struggle with developing a cohesive set of policies for hybrid work. Instead, they opt for one-size-fits-all solutions that fall short in the face of reality. Too many are still narrowly fixated on the question of location: 鈥淲here should we work?鈥� However, a surprising outcome of the Future of Global Work Report has potential to reframe this discussion.

During the study, Accenture researchers identified a segment of workers (40%) who felt they could be productive anywhere. For this group, work location did not matter because they could be equally productive on-site and remotely. How do they do it? The researchers studied this group more closely to find the answer.

鈥淲e were initially interested in that location question 鈥� what helps to drive worker productivity remotely or onsite,鈥� says Gabriela Burlacu, PhD, talent researcher at Accenture. 鈥淏ut actually, what was far more interesting and far more impactful on a company鈥檚 bottom line was this idea of a segment of workers that felt they could be what we called 鈥榩roductive anywhere.鈥欌��

Traits of Workers Who Are Productive Anywhere

That many workers can be productive, happy, and healthy in whichever setting should be welcome news for any company trying to hammer out an intentional policy for hybrid work. 鈥淚t鈥檚 location agnostic,鈥� Burlacu says, regarding the impact on the future of work. 鈥淚t’s also a precursor to effective hybrid work, because if you feel you can be productive anywhere, then you really could work comfortably in both places.鈥�

Much more important than work location seemed to be an employee鈥檚 individual potential and the resources available to support their work. The Accenture team found some commonalities among the 鈥減roductive anywhere鈥� cohort that can be carried over to other organizations as well. These workers had more autonomy, positive mental health, a desire to participate in learning, advanced digital fluency that enabled them to evaluate and adopt technology to get the job done, strong social bonds at work, and work-life enhancement, which means that they felt their work added to their ability to enjoy other areas of their lives.

The organizations that these workers belonged to also had interesting commonalities. They tended to be agile, intelligent, digitally mature, and have supportive leadership. They also have beneficial health policies that signal that employee health and safety is valued by the company.

Autonomy is a key theme in any discussion about hybrid work. It takes steady effort and awareness to balance autonomy and organizational goals for business success. Burlacu has some suggestions. 鈥淭he ways that we measure productivity have to look a little different. Giving people some level of freedom to manage their own time and how they complete tasks is important,鈥� she says. 鈥淏ut another side is also giving manageable feedback that’s really clear in terms of what the expectations are and how to improve. It’s an often-overlooked part of autonomy. Workers don’t always know if they’re working on the right things for the company鈥檚 success; whereas being really clear about the objective can actually help drive autonomy.鈥�

Resources Prove Essential to Fight Workplace Stress

While the research shines a light on workers who thrive no matter where they work, it also uncovered another 8% of workers who experience the same disconnection, frustration, and inefficiency regardless of location. These workers were, in essence, productive nowhere. Researchers assumed this group had endured hardships and stress during the pandemic. Instead, they found that what separates the two groups is not stress.

鈥淥ur 鈥榩roductive anywhere鈥� group was actually more burned out than our 鈥榩roductive nowheres.鈥� They had a host of other negative work stressors as well. But what really differentiated them and their work experience is they had much higher levels of resources,鈥� says Burlacu, indicating that this is something within companies鈥� power to address so that all workers can fulfill their potential.

The Future of Work Starts with Mindset

Perhaps some of the best news of the study is that researchers found that of high-growth companies have already adopted a 鈥減roductivity anywhere鈥� workforce model. This suggests that a future of work that looks beyond where to work may be just around the corner.

鈥淲e were able to identify what aspects of a company’s environment and work experience really help workers be productive anywhere,鈥� says Burlacu, 鈥淏ecause that should be the goal 鈥� not more seamless remote work, not better on-site work 鈥� but enabling people to have this 鈥榩roductive anywhere鈥� mindset.鈥�

In , half of business leaders surveyed said they already require or plan to require employees to return to full-time, on-site work by the end of the year. Making headlines are managers like who point out the productivity gains that come from the social connection, culture keeping, and idea generation that they say can only be created in a shared workspace. But others disagree: several senior executives attending the World Economic Forum Annual Meeting 2022 in Davos, Switzerland, in favor of a hybrid work model, saying it was the most realistic approach for attracting and retaining talent.

Employees are on a mandated return to office, emboldened by newfound bargaining power as a result of the record and worker resignations of the Great Reshuffle. reveal that up to half of employees say they will quit or look for a new job if expected to return to the office full time.

Flex Work Models Up for Debate

Lost in the debate that is playing out in the media is valuable scientific research on the effects of different work models on worker productivity. This discussion is largely being driven by subjective impressions and entrenched ideas based on the 鈥渙ld normal,鈥� said Dr. Gabriela Burlacu, talent research manager at , speaking at the recently held annual conference of the Society of Industrial and Organizational Psychologists (SIOP).

Joining her for the session 鈥淲here Will We Work? I-O Psychology Puts Flexible Work Models on Trial鈥� were industrial and organizational (I-O) psychologists Dr. Benjamin Granger, head of Employee Experience Advisory Services at , and Dr. Kristen Shockley, associate professor of Psychology at the . Joshua Acosta, a research analyst with , also later provided insights from the recent 麻豆原创 SuccessFactors report 鈥�.鈥�

Autonomy Fuels Motivation for Greater Productivity

鈥淚f we think about theories in I-O psychology, autonomy and control permeate a lot of these theories,鈥� said Shockley, who pointed out that 鈥渁utonomy as motivation for sustained effort鈥� is a frequent theme in I-O literature. 鈥淎utonomy is a fundamental need and when you allow people to work remote, it inherently gives them more of this autonomy. That is something which relates to a host of outcomes, like productivity and well-being.鈥�

The psychologists agreed that the optimal work model for the average global employee is a hybrid work arrangement. They noted, however, that this is not necessarily the best model for every individual or organization. For those organizations that opt for a hybrid model, they emphasized that the work needs to be structured so that collaborative tasks, like brainstorming, are done on-site and more analytical tasks are done remotely. 鈥淚 am very pro the hybrid model, with the caveat that it does need to be intentionally and holistically designed,鈥� said Burlacu.

Workers Expect Flex Work after Pandemic Productivity Sprint

A , which surveyed 10,000 workers in 12 industries in 12 countries in 2021, found that 83% of workers identified a hybrid model as optimal for them. Those already in hybrid environments reported better mental health and stronger work relationships, and felt they were doing better work for their organizations.

The , which studies work-from-home arrangements and attitudes, tracked the productivity of remote workers from April 2020 to January 2022. It found that on average people were in remote work arrangements, even with the added stressors of the pandemic.

For the , Qualtrics carried out a study of 14,000 employees in 22 industries across 27 countries to look at general job attitudes, engagement, inclusion, and well-being. Employees generally felt more energized at work 鈥� compared to the previous year 鈥� with half saying their physical and mental well-being actually improved while working remotely.

鈥淢any organizations haven鈥檛 lost step in terms of productivity,鈥� said Acosta from 麻豆原创 SuccessFactors, citing the latest research from 麻豆原创 SuccessFactors, which found that workers鈥� attitudes are shifting to expect hybrid arrangements. 鈥淚f people are working in a hybrid setting or home setting, we鈥檙e seeing they鈥檙e often just as productive as when they鈥檙e in the office. It鈥檚 our perspective that hybrid work isn鈥檛 going away anytime soon.鈥�

Hybrid Work Moves from Contingency to Certainty

If 2021 was the year hybrid work was utilized for health and safety, then researchers at 麻豆原创 SuccessFactors predict that 2022 will be the year that it moves from contingency to certainty. This means that organizations will need to establish policies, practices, and cultural norms to operationalize hybrid work arrangements. Acosta noted this will look different across all organizations, depending on the composition of the workforce.

础肠肠别苍迟耻谤别鈥檚 study revealed that a number of demographic factors influence workers鈥� decisions about where to work, including age and gender demographics and where they live. For example, Gen X women said they could be more productive in remote work, while Gen Z men felt strongly about being on-site. Urban dwellers felt they would be more productive in the office, while people living in rural areas preferred remote work.

鈥淎ll of that together suggests that if you let people choose, you will end up with demographically very different workforces on-site versus remotely,鈥� Burlacu said. 鈥淭hat wouldn鈥檛 be a problem if you created equitable work experiences and equitable access to development and promotion opportunities.鈥� She then followed up with a hard truth: 鈥淏ut the issue of equitable access has never been properly resolved in the workplace.鈥�

Just ask deskless workers. This group 鈥� defined as employees who perform their jobs away from a desk 鈥� was largely absent from the discussion in 2021. In 2022, however, these workers are presenting more pronounced views, according to research by 麻豆原创 SuccessFactors. With companies facing talent shortages in all job categories, Acosta said that organizations will need to seriously consider deskless workers鈥� changing expectations for autonomy and flexibility while balancing organizational and job demands.

Maybe It鈥檚 Time for a New Definition of Flexibility?

鈥淎 lot of times we assume workplace flexibility means where you work, but what鈥檚 become clear to us in our work is when employees define flexibility, they鈥檙e talking about where and when they work, and they鈥檙e also talking about how work gets measured and managed,鈥� Granger said. 鈥淓mployees are defining workplace flexibility much broader than many organizational leaders. We need to be more flexible in how we define workplace flexibility.鈥�

Acosta agreed, saying 鈥淥rganizations are going to need to be really thoughtful in operationalizing how they can deliver flexibility as well as autonomy, and perhaps even redesign not only where people work, but when and how work takes place.鈥�