For example, the introduction of low-code/no-code has made application development accessible to everyone in an organization 鈥� with or without a technical background 鈥� to improve experiences for everyone. Just take Dak, the then 12-year-old junior app developer from Massachusetts, who was part of my . With 麻豆原创 Build solutions, Dak was able to develop all kinds of apps and publish them to a wide audience, such as the 鈥淜nowledge 4 Ever鈥� app that offers kids a playful learning experience during summer break.

Then, there are cloud technologies that further boost accessibility and offer other benefits. Generative artificial intelligence (AI) has put more power into more hands. Another advancement, composable technology, will make it easier for businesses to quickly assemble, reassemble, and compose solutions to meet their needs and those of their customers.

Over the course of my 11-year journey at 麻豆原创, the 麻豆原创 Innovation Awards have served as a one-of-a-kind global platform to showcase customers and partners that have used their creativity, teamwork, 麻豆原创 products, and cloud technologies to achieve remarkable results. This year, though, is a different experience for me. As an executive sponsor of the awards, I鈥檝e had the privilege of experiencing up close what makes this program and the participating businesses so special.

Today, I am thrilled to announce the . Out of 170 businesses, one in three were chosen as finalists and now the winners have been announced. These winners come from various industries and locations worldwide. What all of them share is the use of 麻豆原创 products and technologies to create innovative solutions for their customers, employees, and communities. Congratulations to all participants for demonstrating remarkable abilities and highlighting the importance of curiosity and continuous learning!

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AI Plays a Critical Role

Generative AI has empowered more people. Many of the participants have utilized 麻豆原创 Business AI to boost their businesses. Take the winner , one of the world鈥檚 leading suppliers of automotive seat systems, which has leveraged 麻豆原创 solutions, including 麻豆原创 AI Launchpad and 麻豆原创 AI Core, to revolutionize cockpit customization. When personalizing cockpit elements such as seats, door panels, and dashboards, OEMs and customers can see the carbon impact of each choice. By providing and promoting more sustainable and environmentally friendly options, Martur Fompak has decreased carbon emissions by 34% for each seat the company produces. AI has also helped the company increase its efficiency to achieve calculations 50 times faster than with manual methods and accelerate data collection by 75 times.听

Sustainability for a Better World Today 鈥� and Tomorrow

Technology has significantly contributed to improving lives, both within and beyond business contexts. Numerous winners like Martur Fompak have prioritized sustainability. Let us look at one more innovator in this area: .

A producer of high-quality sherries, Gonz谩lez Byass is committed to the circular economy concept of eliminating waste, circulating materials, and regenerating nature. The company deploys sustainable and water-saving agricultural techniques. To assist with eliminating and recycling waste, Gonz谩lez Byass turned to 麻豆原创 and 麻豆原创 Responsible Design and Production. The company needed a faster, more transparent way to gather and manage data, specifically around the purchase and use of plastic. With 麻豆原创 Responsible Design and Production, Gonz谩lez Byass can quickly and effectively monitor, measure, and act on data. The company recovers 99% of the waste generated during production while recycling 100% of paper, cardboard, glass, and plastic.  

Adoption Can Be Challenging

Even top technologies such as AI may need support to gain widespread acceptance. Many of this year鈥檚 winners have been innovative with their focus on adopting 麻豆原创 technology. is a prime example.

A leader in onshore/offshore wind energy production, Vestas wanted to improve its supplier and partner collaboration and selected 麻豆原创 for the task. Vestas began its journey with 麻豆原创 in 2007 by employing 麻豆原创 ERP Central Component and consolidating to ONE ERP in 2015. Since 2017, the company has been transforming its digital procurement for supplier collaboration with 麻豆原创 Ariba solutions. Last year, Vestas began to build out its value chain alongside suppliers and partners with 麻豆原创 Business Network, enabling data transparency and connectivity in finance, production planning, and logistics management. As a result, 6,000 suppliers were onboarded, US$12.5 billion in purchase orders was executed, 350,000 orders were confirmed, and 25,000 advance ship notices were generated, to name a few transactions 鈥� all in 2023. 

I am happy to say that the 2024 麻豆原创 Innovation Awards honor businesses that have demonstrated their innovation and effective use of 麻豆原创 products and technologies. They鈥檝e adapted to and met the ever-changing needs of their customers and communities and, as I wrote earlier, achieved remarkable results in diverse areas. Congratulations to all winners! 

The Winners Shine in Seven Categories

If you’re curious about the path to victory for our winners, learn more in this article. Thirty winners were selected, covering the following categories:

• Business Innovator, focusing on transforming the supply chain, processes, or business networks using cloud solutions from 麻豆原创
• Industry Leader, for employing 麻豆原创 solutions to address big challenges and change how business is conducted
• Experience Wizard, for achieving business transformation with cloud solutions from 麻豆原创 to improve employee and customer experiences
• Sustainability Hero, achieving sustainability with leading-edge solutions
• Services Supernova, for outstanding achievements in transforming businesses into sustainable enterprises
• Transformation Titan, demonstrating exceptional innovation and transformational leadership in using 麻豆原创 Business Technology Platform (麻豆原创 BTP)
• Partner Paragon, for accelerating the adoption of 麻豆原创 BTP

Juergen Mueller is chief technology officer and a member of the Executive Board of 麻豆原创 SE.

麻豆原创 HANA Cloud is a market-leading database-as-a-service enabling intelligent data applications and is one of the most adopted services within 麻豆原创 Business Technology Platform (麻豆原创 BTP) internally at 麻豆原创. As of today, more than 180 different applications and services use 麻豆原创 HANA Cloud with its multi-model capabilities.

Now, 麻豆原创 HANA Cloud is also a leader in the generative AI age.

At 麻豆原创, we work with various LLMs such as GPT-4, Llama2, Falcon-40b, and Claude2. While these models offer amazing opportunities, they also have limitations. For example, LLMs may rely on outdated training data and lack company-specific data and business process context.

As an example, imagine having an LLM as a colleague. This colleague would be very intelligent, able to program, pass exams, or have arguments 鈥� but this colleague would not know anything about what happened in the world in the past year, nor have any idea about internal processes of your company or any of your systems. Even worse, after every conversation you have, this colleague would forget what you just talked about. Working with such a lack of memory would be of limited value. This shortcoming is why an LLM cannot answer easy questions like 鈥淲hat do you think about the offer from our most important supplier last week?鈥� An LLM can only work with the initial training data 鈥� all other data must be provided as context.

Supplementing this lack of information is where 麻豆原创 HANA Cloud vector engine can assist. The engine can provide LLMs with all the relevant data of an organization through a process called “retrieval-augmented generation.”

A Game-Changing Feature

So how does the vector engine work? It is a new addition to 麻豆原创 HANA Cloud’s multi-model engines, enabling customers to utilize the similarity between two or more vectors to solve business problems. With the integration of AI-focused technology, 麻豆原创 HANA Cloud can now empower businesses to combine intuition along with data-driven insights to solve even the most complex of problems.

Some key benefits and features of the vector engine include:

• Multi-model: Users can unify all types of data into a single database to build innovative applications using an efficient data architecture and in-memory performance. By adding vector storage and processing to the same database already storing relational, graph, spatial, and even JSON data, application developers can create next-generation solutions that interact more naturally with the user.
• Enhanced search and analysis: Businesses can now apply semantic and similarity search to business processes using documents like contracts, design specifications, and even service call notes.
• Personalized recommendations: Users can benefit from an improved overall experience with more accurate and personalized suggestions.
• Optimized large language models: The output of LLMs is augmented with more effective and contextual data.

The Database Foundation of 麻豆原创鈥檚 Generative AI Strategy

The addition of the vector engine establishes 麻豆原创 HANA Cloud as the default database in 麻豆原创’s generative AI solution strategy. Customers can create the next level of user experiences along with other services within 麻豆原创 BTP. As an example, 麻豆原创 BTP can provide centralized access to SaaS-based LLMs from multiple vendors as well as host LLMs from open-source models or third parties. The generative AI hub in 麻豆原创 AI Core, a capability that facilitates the use of generative AI capabilities, will soon rely on 麻豆原创 HANA Cloud as the primary vector storage. One function of the generative AI hub feature is to help provide a process for creating embeddings and storing the resulting vectors in 麻豆原创 HANA Cloud. Customers building intelligent data applications can use both services together to augment LLM queries with relevant context for meaningful answers.

麻豆原创 is working on foundation models that are specific for 麻豆原创-related industry and process knowledge.

The Database for Innovation

麻豆原创 HANA Cloud continues to lead the market by storing and processing different types of relevant business data 鈥� all within the same database. The new vector engine, combined with other multi-model capabilities, opens a world of possibilities for applications to help enhance the execution of business processes. Whether improving search capabilities, gaining deeper insights for informed decisions, or optimizing LLMs, 麻豆原创 HANA Cloud enables the type of applications that can elevate the expertise and effectiveness of every user.

To learn more, sign up for . Do you already have a use case for 麻豆原创 HANA Cloud vector engine in mind? If so, consider registering for the .

Juergen Mueller is CTO and member of the Executive Board of 麻豆原创 SE, Technology & Innovation.
Stefan Baeuerle is head of Database, 麻豆原创 HANA Database, & Analytics for Technology & Innovation at 麻豆原创.

麻豆原创 has been working on AI for more than eight years now. Regardless, the past year was special as it has shown a huge leap forward in AI evolution toward generative AI. Today, more than 24,000 of our 麻豆原创 customers are using 麻豆原创 Business AI solutions in over 130 use cases. And we are aiming to provide even more businesses the opportunity to benefit from our unique data, industry, and process know-how as we work to become THE leading business AI company.

At the heart of that vision is 麻豆原创 Business Technology Platform (麻豆原创 BTP), THE platform of choice and key enabler for infusing 麻豆原创 and partner applications with business AI.

My keynote guest speaker Michael Nilles, chief digital and information officer (CDIO) of Henkel, said it well: 鈥淕enerative AI disrupts economy and society like the internet, but at lightspeed. Look at the last 10 months only — I have never discovered an exponential technology like that. 麻豆原创 BTP is our choice at Henkel for three years already; it鈥檚 our innovation platform. Together with 麻豆原创, we innovate at large scale, now also in the generative AI space.鈥�

To this end, we have been driving significant progress in the past months, from 麻豆原创 Business AI capabilities across our portfolio to the launch of our generative AI co-pilot Joule. The are another testament to the innovation 麻豆原创 provides.

Build In, Not Bolt On

We believe that business AI capabilities need to be directly embedded into applications and extensions. Designed with security, governance, and trust in mind, the is our new one-stop shop for developers to do exactly that. It provides ready-to-use AI services, AI runtimes, lifecycle management, as well as tooling for generative AI capabilities and business-data connectivity.

As part of the AI Foundation, our generative AI hub provides instant access to the most powerful large language models (LLM), such as Azure OpenAI Service and Falcon-40b. On the other side, it offers grounding capabilities based on enterprise data to ensure context, for example, by leveraging our new 麻豆原创 HANA Cloud vector engine that combines LLMs with relevant organizational data.

All Developers Will Be AI Developers

Today鈥檚 dynamic technology and business landscape means every developer needs to become an AI developer. For coders using Java and Javascript, our new solution increases developer productivity by offering a simplified experience with a unified lobby as an entry point, and generative AI capabilities. 麻豆原创 Build Code also takes care of identity management, audit logging, secure access, and more.

Does this sound too good to be true? Check out to see for yourself how 麻豆原创 Build Code helped to create a full-blown application in just five minutes on stage!

R鈥淎I鈥漵e the Ecosystem

More and more businesses are seeking to benefit from AI. No single company can unlock generative AI鈥檚 potential alone. A vibrant ecosystem of partners is required in order to meet growing customer expectations.

麻豆原创 is partnering with many key players that offer solutions connected to 麻豆原创 BTP. Today, partners support 90% of 麻豆原创-based implementations and offer 2,000 solutions on our store — more than 400 of these include AI capabilities. Moreover, our partner solutions also enable developers to create AI-based apps on 麻豆原创 BTP. One example is our partnership with DataRobot, announced earlier this year. We now brought its AI models to 麻豆原创 AI Core as well as its predictive and generative AI capabilities to 麻豆原创 Build.

Apart from the partner context, we also invest in AI research. The recently announced membership at the Stanford Institute for Human-Centered AI is an important step to reinforce our commitment to build ethical and trustworthy AI.

Going Forward, Looking Beyond

The future holds a lot. On our way to become THE leading business AI company we will continue to integrate AI into businesses鈥� everyday processes.

For 2024 and beyond, we are exploring multiple use cases, such as AI-supported business simulations, AI-generated business correspondence replies and follow-up actions, composable business processes, or automated generation of code. We will also support fine-tuned LLMs to make them more suitable for business AI.

This 麻豆原创 TechEd has only been a first milestone — there’s a lot more to come! Don鈥檛 miss out on your journey to 麻豆原创 BTP, THE choice for anything technology-related in an 麻豆原创 context.

Juergen Mueller is CTO and a member of the Executive Board of 麻豆原创 SE.

Now, by harnessing the power of 麻豆原创 Business Technology Platform (麻豆原创 BTP), the Association — which joined me on stage during our 麻豆原创 Sapphire event a few months ago — aims to optimize its rich array of data sources, paving the way for more informed decision-making and elevated experiences for players, fans, and the game of tennis.

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Having watched the Wimbledon finals, I am mesmerized by how players make split-second decisions in such a fast-paced game and hit almost every ball perfectly. The pressure on the center court is definitely immense!

During the course of the match, players take many shots, and every single one matters. How can players react so quickly and apply all their experience and training to their actions on the court? They need a winning strategy, confidence in their strengths, and the 鈥渕uscle memory鈥� built from continuous training. This allows them to perform on the court and react to the opponent鈥檚 ball in split seconds.

As a hobby tennis player myself, I love the feeling of landing a perfect shot; that is, when I know the shot is going to be a winner as soon as it comes off my racket. My serve is not too bad either. As a chief technology officer, I can also draw analogies to my other passion: data — and winning good insights from it.

Wouldn鈥檛 it be perfect if executives could make decisions like professional tennis players? With confidence in their winning strategy, and equipped with corporate muscle memory built from years of experience and practice to enable them to be both proactive and reactive in their day to day work?

Just like tennis players, companies need to test their strategy and feed their muscle memory again and again — based on trusted data insights. And like the tennis players on the court, executives need to have a vision coupled to a winning strategy, and the ability to make quick decisions that are based on real-time information. Data plays a key role in this: having data in one place and accessing it whenever it鈥檚 needed is essential for effective decision-making.

We at 麻豆原创 are equipping organizations to do just that with new tools like the “Just Ask” feature in 麻豆原创 Analytics Cloud, which applies generative artificial intelligence (AI) and foundation models to search-driven analytics. This is also where 麻豆原创鈥檚 more than 50 years of experience in technology and our solutions come in, which enable companies to win in their own competitive environments.

I could not be more thrilled that the WTA and 麻豆原创 are celebrating the Women鈥檚 Tennis Association鈥檚 50th anniversary together and are joining forces to transform the way data is managed and applied in women鈥檚 tennis.

This latest collaboration between 麻豆原创 and the WTA marks a significant milestone in our partnership as the WTA embraces a data-driven approach to shape the future of the game.

Congratulations WTA, to your 50th anniversary. I think we make perfect doubles partners. Game, set, match!

Learn more about the WTA鈥檚 .

Juergen Mueller is CTO and a member of the Executive Board of 麻豆原创 SE.

Generative AI provides us with a whole new toolbox that opens so many opportunities to simplify and improve our work lives. At 麻豆原创 Sapphire, we . When using and applying AI in a business context, we make sure it is relevant, reliable, and responsible.

麻豆原创 BTP acts as the enabler for 麻豆原创 and partner applications to leverage generative AI capabilities in an 麻豆原创 context. Generative AI capabilities in 麻豆原创 BTP will improve the developer experience, how integrations are done, the process automation space, analytics and holistic planning activities, as well as simplify administrative tasks.

Let me demonstrate with three use cases how AI capabilities in 麻豆原创 BTP will help build applications faster, outline a reference architecture to bind applications to the most appropriate large language model (LLM), and apply the reference architecture to a concrete example 鈥� an app that helps you keep an eye on your own CO2 footprint.

Building Enterprise Applications Faster

Building enterprise-ready applications can take time and requires many very skilled professionals. Even experienced developers need to consult documentation and websites like Stack Overflow to help them with their daily tasks. In our 麻豆原创 Labs, we are working on making developers鈥� lives easier.

For example, we are utilizing the power of generative AI to automatically generate an 麻豆原创 BTP application based on our cloud application programming (CAP) model. This means that in the future, developers will be able to describe an application鈥檚 capabilities, and 麻豆原创 Business AI will create a proposal for the actual application. An 麻豆原创 BTP application developer can simply insert a prompt into the command-line tool and , and then continue to refine it.

This will enable applications, such as extensions for 麻豆原创 S/4HANA Cloud, to be built in hours instead of weeks or months. Not only will developers be faster and even more productive in their work, but organizations will be able to respond to business needs with rapid innovation.

Enabling Large Language Model Choice

麻豆原创 BTP applications can leverage any LLM or similarly powerful tools available as a service from one of the hyperscale providers or open source models.

We are enabling 麻豆原创 BTP application developers to choose the most appropriate LLM for their use case. We that enables developers to bind their 麻豆原创 BTP application to OpenAI鈥檚 GPT or any other LLM.

This means developers can build applications with our CAP model on 麻豆原创 BTP to blend LLMs with 麻豆原创 S/4HANA and other 麻豆原创 solutions. Access to LLMs such as GPT models will be offered through 麻豆原创鈥檚 AI Core, which provides key benefits, including context validation and portability between LLMs.

With this architecture, developers can benefit from the co-engineering work we have done with hyperscalers on 麻豆原创 Single-Sign On and Private Link, helping ensure that data is secured within the network backbone and does not exit to the public internet.

With 麻豆原创 Business AI, we apply powerful tools and services in a responsible way, in a context that makes the use cases highly relevant for our customers鈥� businesses and ensures reliable outcomes.

Using the Power of AI for Good

The old saying holds true: you cannot manage what you cannot measure. This is especially true for sustainability. But with AI, we have a new lever to support sustainability efforts.

Using the reference architecture, we built a on 麻豆原创 BTP based on a customer co-innovation project with an enterprise from the finance industry. It helps bank customers better understand how consumption habits are driving their carbon footprint, become more climate conscious, and adapt their behavior accordingly.
How does it work? The app matches spending behavior based on purchase data from banking customers with the corresponding carbon emission information from our sustainability partner . The app, which was built using 麻豆原创鈥檚 CAP model, blends customers鈥� banking data with Connect Earth data and then calls out to Microsoft Azure OpenAI services via 麻豆原创鈥檚 AI Core on 麻豆原创 BTP to summarize and recommend actions for improvement.

This is an example of how the reference architecture for Microsoft Azure OpenAI services mentioned before can be implemented through the sample code shared on GitHub.

These are just three out of many of the ways 麻豆原创 is using generative AI to make a difference for professional developers and our customers and users alike.

It is an amazing time to be alive, and 麻豆原创 is ready to take enterprise software into the generative AI age and to support our customers in this transformation as a strong partner.

Juergen Mueller is CTO and member of the Executive Board of 麻豆原创 SE.

This content was originally published on LinkedIn:

With the unified experience of 麻豆原创 Datasphere for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization data, professionals can now easily distribute mission-critical business data 鈥� with business context and logic preserved 鈥� across their organization鈥檚 data landscape.

麻豆原创 Datasphere is the next generation of 麻豆原创 Data Warehouse Cloud, but with new capabilities that enhance data discovery, modeling, and distribution. This includes a new data catalog that acts as a centralized repository, describing all the data and metadata, including lineage and governance, to assure data is accurate, complete, and up to date. State-of-the-art data flow capabilities allow organizations to automatically generate pipelines at enterprise scale. We also enriched the business semantic layer with advanced modeling capabilities.

Existing 麻豆原创 Data Warehouse Cloud customers will automatically see the new functionality in their product environment today 鈥� no migration necessary.

Here, we go deeper into some of the new 麻豆原创 Datasphere capabilities announced today, which will enable organizations to deliver seamless and scalable access to mission-critical business data.

Access Authoritative Data

Customers tell us that they spend countless hours and resources extracting 麻豆原创 and non-麻豆原创 data from heterogeneous data sources in order to rebuild the semantics, logic, and context that often already exist in applications such as 麻豆原创 S/4HANA or 麻豆原创 SuccessFactors solutions. The result is a costly cycle of extracting and rebuilding, often while losing the rich context that business insight needs.

麻豆原创 Datasphere solves this issue by connecting 鈥� rather than just extracting 鈥� data with easy federation or replication to a business semantic layer, which in turn enables self-service modeling for business users without deep technical knowledge of the underlying application data structures.

麻豆原创 Datasphere enhances the business semantic layer to provide advanced multi-dimensional capabilities by introducing the 麻豆原创 Datasphere Analytic Model. This modeling experience includes complex aggregations, time dependencies, data preview, business hierarchies, business KPIs, and more. Analytic models harmonize data from different sources and expedite access to contextual, relevant business data for faster insights and decisions: they are the foundation for data consumption in听麻豆原创 Analytics Cloud.

Data professionals can choose the business entities required for their use case while having flexibility to leverage their existing attributes, relationships, and relevant measures or key figures. With this consistent, rich, and targeted analytics experience, they can distill relevant insights faster.

麻豆原创 Datasphere Catalog makes it simpler to browse and search, discover data and metadata from 麻豆原创 applications, and classify objects for your own business catalog, enriching them using the glossary, custom defined terms, and hierarchical tags. With the data lineage capability, whether it is business data or metadata, users can understand relationships between assets and visualize where the data is coming from and where it is landing. Lineage offers a structured overview of objects and spaces for users to quickly understand object and data dependencies and directly navigate to the relevant business objects.

麻豆原创 Datasphere Catalog supports data objects from other 麻豆原创 Datasphere instances and 麻豆原创 Analytics Cloud. The catalog will soon expand to include other 麻豆原创 applications and sources, including 麻豆原创 Business Warehouse (麻豆原创 BW), 麻豆原创 ERP Central Component (麻豆原创 ECC), and 麻豆原创 S/4 HANA. But that鈥檚 not all: we strive to help businesses unify all their enterprise data, both 麻豆原创 and non-麻豆原创. We are continuously developing integration with industry-leading data catalog partners, such as Collibra, to support the non-麻豆原创 sources and provide trusted governed data across the enterprise.

Enrich All Data Projects

We have kept all the powerful capabilities of 麻豆原创 Data Warehouse Cloud in 麻豆原创 Datasphere to enhance collaboration across the enterprise. In this way, we empower both business and IT and enable instant access to application data via pre-built integrations to federate or instantly replicate data using change data capture. 听

A new data ingestion capability takes this further. 麻豆原创 Datasphere can replicate data and automatically generate large numbers of pipelines without any manual build or configuration required. With the new replication task, you can identify the source system from where data needs to be replicated (麻豆原创 ECC, 麻豆原创 S/4HANA, or 麻豆原创 BW), then select objects in the source systems and a target location. The system will automatically configure all the pipelines needed to handle the initial data load and ongoing delta changes without any user intervention. These pipeline tasks are fully resilient, automatically managed by the task, and even restarted in case of failure. With this new capability, 麻豆原创 Datasphere makes it simple to replicate large numbers of tables automatically and continuously with minimal user effort or overhead.

Whether you decide to federate or replicate data into 麻豆原创 Datasphere, organizations can now easily manage user access and govern data in a virtual workspace called 麻豆原创 Datasphere Spaces. In this environment, business data professionals can model data, blending from internal and external sources and extending the model with additional business semantics.

As workloads today are ever-changing, the virtual workspace is fully elastic, and as permissions are often space-dependent, further developments will support these very specific demands. For example, at the end of the year finance departments require sensitive HR data to calculate the bonus payout for every employee of an organization. With 麻豆原创 Datasphere Spaces, you can create a separate secured area for HR to share data with finance to calculate the bonus payouts 鈥� with no movement or copying of sensitive required.

麻豆原创 Datasphere Marketplace has been enhanced to make it even easier to leverage external industry data to support business-relevant use cases and data democratization initiatives via internal data markets. 麻豆原创 Datasphere Marketplace today offers more than 3,000 datasets, including sustainability and environmental, social, and governance (ESG) data products from Connect Hub, public data sources from the Organization for Economic Co-operation and Development (OECD), and Eurostat. The intelligent lookup feature in 麻豆原创 Datasphere brings together disparate and non-changeable datasets, so that organizations can enrich their internal datasets with externally available third-party data with just a few clicks. Within 麻豆原创 Datasphere Marketplace, you benefit from access-control mechanisms that manage who can read which dataset. This helps ensure secure and governed data exchange for B2B networks with which data professionals can create new, objective KPIs and processes built over public, shared data sets.

Simplify the Data Landscape

With 麻豆原创 Datasphere, the capabilities of 麻豆原创 BW bridge will be augmented to help leverage current investments in 麻豆原创 BW and 麻豆原创 BW/4HANA and sustain your current access to 麻豆原创 data with ABAP level extractors, staging data, and understanding of 麻豆原创 data and relationships. You can use听existing 麻豆原创听BW听functionality and skills to move 70 to 80% of your existing 麻豆原创 BW and 麻豆原创 BW/4HANA听artifacts into听麻豆原创 Datasphere.

In addition, our upcoming application integration features will allow business teams to leverage pre-built business models and content packages. These accelerate the onboarding of data and metadata from 麻豆原创 business applications to 麻豆原创 Datasphere, with business context and logic preserved.

Existing 麻豆原创 S/4HANA customers can to:

• Get a sneak peek and demo of the new application integration features in 麻豆原创 Datasphere
• Share feedback directly with the 麻豆原创 Datasphere product management team
• Stay up to date with the latest news and road map items around 麻豆原创 Datasphere

Delivering a Business Data Fabric

麻豆原创 Datasphere, and its open data ecosystem, is the technology foundation that enables a business data fabric. This is a data management architecture that simplifies the delivery of an integrated, semantically rich data layer over underlying data landscapes to provide seamless and scalable access to data without duplication. It鈥檚 not a rip-and-replace model, but is intended to connect, rather than solely move, data using data and metadata. A business data fabric equips any organization to deliver meaningful data to every data consumer 鈥� with business context and logic intact. As organizations require accurate data that is quickly available and described with business-friendly terms, this approach enables data professionals to permeate the clarity that business semantics provide throughout every use case.

For organizations, the value of the business data fabric is the simplified delivery of authoritative data, in business terms, to consumers across highly distributed data landscapes. It unleashes the rapid creation of intelligent data applications and quick spin-up of new analytics and planning projects, so organizations can derive more business value from data assets.

Building a Powerful Open Data Ecosystem Around 麻豆原创 Datasphere

麻豆原创 is also partnering with an open ecosystem of leading technology vendors seeking to alleviate organizations鈥� need to simplify, integrate, secure, and govern the data landscape. The first set of open data partners providing core components of the value the business data fabric delivers include , , , and . Together, we will work to champion and strengthen 麻豆原创鈥檚 business data fabric as a new industry standard for an interoperable data strategy.

Each of these strategic partners brings the unique strengths of their ecosystems:

• Databricks and 麻豆原创 will deliver bi-directional integration between 麻豆原创 Datasphere鈥攚ith 麻豆原创 data鈥檚 complete business context鈥攚ith its Data Lakehouse platform on any cloud platform
• Collibra and 麻豆原创 will start by integrating their data catalogs to future-proof data governance, privacy, and compliance initiatives听for every organization.
• Confluent will enable data in motion with real-time streaming data from/to 麻豆原创 Datasphere
• And finally, DataRobot will allow any organization to build powerful custom machine learning models on top of 麻豆原创 Datasphere and bring results directly into their business data fabric

麻豆原创 Datasphere represents the tailored integration point for all partners, enabling customers to connect, unify, and distribute 麻豆原创 and non-麻豆原创 data unlike ever before. With the support of some of the world’s most renowned advisory firms, such Accenture, , , , , and , every organization can enable a business data fabric that delivers meaningful data to their data consumers.

We welcome all partners to join us in our mission of empowering customers to unleash the power of business data.

Get Started with 麻豆原创 Datasphere Today

Start your journey today to unleash the power of business data across your data landscape with 麻豆原创 Datasphere.

• and the new capabilities with the guided experience
• instantly with the free tier of 麻豆原创 BTP
• today for an early preview of the upcoming application integration features

Juergen Mueller is CTO and a member of the Executive Board of 麻豆原创 SE.

It鈥檚 been around for three years, and we have more than 15,500 live customers on 麻豆原创 BTP with an ecosystem of over 1,500 partners working with us.

麻豆原创 BTP is not just a unified technology environment optimized for 麻豆原创 applications helping move companies to the cloud. It also has all the necessary tools and services as a comprehensive and interoperable platform enabling application development, data management, planning and analytics, integration, automation, and artificial intelligence (AI) capabilities. From Villeroy & Boch automating 91% of incoming emails to NHL hockey team the San Jose Sharks embracing data insights to grow fan engagements, 麻豆原创 BTP is powerful technology.

Business has been at the core of everything we do at 麻豆原创 in our 50-year history; it鈥檚 what sets us apart from other providers. That is the 鈥楤鈥� in BTP. It stands to reason that our technology and platform create business value by enabling developers, business users, and ecosystem partners to innovate with market-leading capabilities and native integration, building faster with business context and running with confidence on a trusted platform.

Business-centricity includes semantic integration of data to make it consistent across various 麻豆原创 solutions and ready for business consumption. 麻豆原创 BTP users have easy role-based, governed access to relevant content and contextual data sitting in line-of-business applications. The platform contextualizes the business data as needed by use case.

Finally, imagine that with semantic integration and contextualized data, customers can instantly use data from 麻豆原创 applications without losing business context and meaning, leading to faster time-to-value and lower total cost of ownership. No matter where the data comes from or which use case is used, the user gets a harmonized experience.

This past year, I have spoken to numerous customers and partners who have told me that 麻豆原创 BTP is top of their minds, and they all want to learn more. Global market intelligence firm IDC went a step further. IDC interviewed nine 麻豆原创 BTP customers about what business challenges are top of mind, why they selected the 麻豆原创 platform, and what business value they derived from their investment in 麻豆原创 BTP. Across the nine customers interviewed in the IDC鈥檚 study, it yielded benefits worth an annual average of $195,000 per 100 麻豆原创 users, an average three-year return on investment (ROI) of 495%, and a break-even point averaging only six months.

In the context of integration and development gains through 麻豆原创 BTP, one customer cited: 鈥淲ith 麻豆原创 BTP, it has taken us two months to mobilize a full carbon reporting platform in terms of development across many different systems with numerous data sources. That鈥檚 not a lot of time because it was meant to take 12 months. It鈥檚 speed to value, it鈥檚 how quickly can the business that we鈥檙e working with realize the value of the data in their processes.鈥�

Further customer use cases across 麻豆原创 BTP and findings can be found in the .*

IDC also developed a fully . Business leaders and IT professionals can enter information about their business and desired goals, and the tool will generate a custom report for each participant using it, allowing them to quantify the value 麻豆原创 BTP could bring to their organization.

Let me sum it up: more than 15,500 cloud customers are live on 麻豆原创 BTP with access to extensions, use cases. and several thousand pre-built business content packages across all 麻豆原创 BTP capabilities. We have a large ecosystem of more than 1,500 partners using 麻豆原创 BTP. The available 麻豆原创 BTP business content packs and use cases include:

• More than 3,300 APIs
• Packages and dashboards for analytics 鈥� more than 260 data and analytics packages
• Integration flows 鈥� more than 2,600 pre-built integrations
• Process automation packages and bots 鈥� more than 300 麻豆原创 Process Automation Packages business rules, data models, and more

Businesses that use 麻豆原创 BTP do not have to start with a blank canvas. Our , pre-built business, and industry content help customers understand what is possible to keep their business innovative and future ready. One thing to remember is that pre-built business content may not get you 100% of what you need but is likely to get you 80% or more to where you need to be. You can then add the remaining specific features and functionalities required for your business. This is usually implemented within a two-to-four-week period versus six months, typically.

Learn how to get started with and how to get the value of 麻豆原创 BTP for your business: 鈥�.鈥�

Juergen Mueller is CTO and member of the Executive Board of 麻豆原创 SE.

*IDC White Paper, sponsored by 麻豆原创, The Business Value of 麻豆原创 Business Technology Platform, IDC #EUR149650022, September 2022

For more details on the 麻豆原创 Build announcement, read Unleashing Business Expertise with 麻豆原创 Build, from JG Chirapurath, chief marketing and solutions officer for 麻豆原创 BTP.

With this new low-code offering, we are evolving our strategy from visual prototyping — known to many customers as Build.me — to designing, deploying, and running enterprise-grade applications fully visually. Learnings from Build.me around project ideation and discovery are being leveraged for the new 麻豆原创 Build offering.

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The worldwide market for low-code tools ballooned almost 23% in the last year and these days, 41% of non-IT employees are building or customizing applications, . So, if it is widely accepted in the industry that low-code platforms will help accelerate business transformations, it is unclear to many what can be achieved with visual development.

Let鈥檚 take a deeper look at 麻豆原创 Build capabilities and how they help 麻豆原创 customers deliver new, innovative solutions quickly.

Unified Developer Experience

麻豆原创 Build provides a unified experience for users of all skills levels. They can collaborate on creating applications, automating processes, and deploying business sites by using visual tools and a rich set of services and pre-built content.

麻豆原创 Build users can share reusable artifacts such as user experience (UX) components, workflows, automations, data models, and business logic among team members and across projects. When it comes to accessing business data from other systems, developers can encapsulate APIs as simplified service interfaces, so called 鈥渁ction projects,鈥� and make them available in the 麻豆原创 Build library.

From there, non-technical users can use them without the need to handle the underlying complexity of APIs, while at the same time complying with IT security requirements. Similarly, citizen developers can use 麻豆原创 Build solutions to access artifacts, such as data models, created in our professional integrated development environment (IDE) 麻豆原创 Business Application Studio.

All this greatly facilitates the creation of composable and sophisticated applications leveraging the skills, expertise, and resources from fusion teams.

Let鈥檚 have a deeper look at what can be achieved in 麻豆原创 Build.

麻豆原创 Build Apps

Today鈥檚 enterprise users are widely accustomed to modern, fast, and responsive user interfaces. With 麻豆原创 Build Apps, the evolution of 麻豆原创 AppGyver, we can deliver both mobile and web applications with pixel-perfect design using the drag-and drop functionality and a rich component library. Business users create business logic visually and build beautiful user interfaces without coding.

But there is more: With 麻豆原创 Build Apps 鈥渃loud functions,鈥� we introduce a way to visually create a cloud-deployed back end for your application. These new cloud functions provide a way to define and run custom business logic and manage persistency and integrations in the cloud, without the need to provision or manage underlying computations. With 麻豆原创 Build Apps and the cloud functions capability, now everyone can become a full-stack cloud developer.

The cloud functions capability has two components: business logic and a data persistence layer.

Business services are built from individual logic nodes with inputs and outputs. An individual node can perform an action, such as updating a data entity or receiving data via the node鈥檚 input parameters. These nodes can then be connected to perform a series of activities, enabling visual building of business logic in the cloud.

A data entity defines the field structure and data types of the data being managed by the application. The native data entities are building blocks of the visual cloud functions project. Extended data entity expands the native entity by allowing users to modify data taken from the native entities using formula expressions. Furthermore, with extended entities, data transformations can be performed on the cloud side.

麻豆原创 Build Process Automation

Often, applications are just the start of extensive enterprise processes, including approval steps and additional data collection. 麻豆原创 Build Process Automation offers task and process automation leveraging robotic process automation (RPA) bots, workflows, forms, embedded artificial intelligence (AI), business rules, and decisions.

In order to accelerate a business transformation from process insights to process automation, 135 tailored process improvement recommendations from 麻豆原创 Signavio Process Intelligence can directly be leveraged in 麻豆原创 Build Process Automation. Also, 麻豆原创 Signavio Process Intelligence can trigger automated actions through APIs to perform process automations with workflows and bots. In addition, 麻豆原创 Build Process Automation complements 麻豆原创 Signavio Process Governance, managing approvals of process model changes in 麻豆原创 Signavio Process Manager.

With this integration, 麻豆原创 has now the most comprehensive set of capabilities needed for business transformation and automation.

Regarding openness with third-party tools, Google Workspace integration allows to automate around products such as Google Sheets, Google Calendar, and Google Drive. It improves document-based processes by leveraging Google Vision AI with OCR and Google Document AI, in addition to Document Information Extraction from 麻豆原创 AI Business Services.

麻豆原创 Build Work Zone

Finally, with 麻豆原创 Build Work Zone, users can create beautiful, custom business sites using new capabilities such as a flexible page builder and context-aware integrated UI cards. They can easily deploy the new applications and processes created in 麻豆原创 Build Apps and 麻豆原创 Build Processes Automation to an 麻豆原创 Build Work Zone business site.

With 麻豆原创 Build Work Zone, we bring together 麻豆原创 Launchpad service and 麻豆原创 Work Zone into a unified solution with two editions:

• 麻豆原创 Build Work Zone, standard edition, is an evolution of 麻豆原创 Launchpad service. It features an enhanced workspace navigation experience, UI integration cards that support 麻豆原创 Fiori design system, low-code page building capabilities, and pre-packaged business content. 麻豆原创 Build Work Zone standard is planned for general availability in early 2023 with the new enhanced experience. (.)
• 麻豆原创 Build Work Zone, advanced edition, formerly 麻豆原创 Work Zone, provides additional advanced features for content management, web content, interactive and engaging work spaces, enhanced menu builder, and integration with third-party solutions.

麻豆原创 Build Work Zone allows end users to access all relevant applications from a single place. Users can easily build simple-to-consume and engaging digital workplace experiences that drive productivity and business agility for themselves, colleagues, suppliers, customers, partners, etc. — without writing any code.

In addition, we are announcing the beta of 麻豆原创 Start, an out-of-the-box central access point for 麻豆原创 public cloud solutions. It includes pre-configured business content from 麻豆原创 applications to simplify access to 麻豆原创 apps, processes, and tasks. Customers will be able to use 麻豆原创 Build Work Zone to extend 麻豆原创 Start to their needs.

Security and Compliance

麻豆原创 Build relies on existing 麻豆原创 BTP services for security and compliance.听 For secure user management, this includes the identity authentication, user authorization, and provisioning services. The 麻豆原创 Audit Log service is leveraged to keep records of all activity in the tools, helping ensure full transparency and compliance.

麻豆原创 Build safeguards operations with built-in centralized lifecycle management, monitoring, and governance. It provides robust DevOps framework with continuous integration/continuous delivery (CI/CD), automated testing, security, and performance checks to ship production-ready software confidently. IT admins can rely on the known platform capabilities, while at the same time empowering their business users with the agility of 麻豆原创 Build.

Glimpse of the Future: What Are the Key Priorities in Our Road Map?

With the announcement of 麻豆原创 Build today, we鈥檙e just at the beginning of a new journey. We have defined an ambitious road map. Our key priorities for the next quarters are to integrate 麻豆原创 Build deeper with the portfolio of advanced cloud technologies available on 麻豆原创 Business Technology Platform. Our endeavors in that direction include:

• will provide 麻豆原创 Build users with straightforward access to semantically connected data entities across all 麻豆原创 applications.
• will integrate more and more 麻豆原创 AI Business Services to allow the extensive use of AI in both design time and run time. This includes auto-identification of application changes to suggest corrections in design time. For run time, it contains root-cause analysis of failures, self-healing corrections to automations based on best-recommended action, and soliciting human-in-loop or auto-adjusting job distribution.
• will be leveraged as a service. It will enable IT experts in fusion teams to build comprehensive data logic and leverage this in 麻豆原创 Build Process Automation.

Become an 麻豆原创 Builder

Ready to become an 麻豆原创 Builder and build your next great idea without writing code? I have two recommendations for you on how to get started:

• Check out our new , which helps customers ramp up quickly on 麻豆原创 Build and connect with their peers. The program offers learning with interactive hands-on sessions and hackathons and gives 麻豆原创 and community experts a forum to share best practices.
• Get started with 麻豆原创 Build right away, as it is available on , which enables you to start for free and without time limits. You can test your scenarios up to a specified capacity limit. When you鈥檙e ready to go, you can easily switch to the paid service plan, without losing your work. Check out our and get started right away.

Juergen Mueller is CTO and member of the Executive Board of 麻豆原创 SE.