Packed audiences at , both onsite in Bangalore as well as attending virtually worldwide, had plenty to cheer about when 麻豆原创 CTO and Executive Board Member Juergen Mueller stepped onto the stage this year to announce the company鈥檚 bold vision to be the leading business AI company by 2025.
In an interview, Mueller shares 麻豆原创鈥檚 amazing generative AI journey with partners and customers that鈥檚 supercharging generative AI development and how companies operate.
Q: What are the top three things that developers, IT professionals, and business leaders need to know about the at 麻豆原创 TechEd 2023?
A: First, we want every 麻豆原创 ecosystem developer to become an AI developer and we are rolling out new tools, leveraging generative AI, to help them build and deploy intelligent data applications at scale.
Second, we are simplifying interactions between large language models (LLMs), enabling developers to implement intelligent data for generative AI applications. By expanding 麻豆原创 HANA Cloud database capabilities with a vector engine, developers can combine the generic LLMs and gain the context they need with company-specific real-time data.聽
Third, is the choice for infusing 麻豆原创 and partner applications with AI. By embedding generative AI into our solutions and giving developers, partners, and customers access to all our technology and learnings through 麻豆原创 BTP, 麻豆原创 is the go-to partner for business AI and generative AI-powered enterprise applications. We already have 22,000 live 麻豆原创 BTP customers in the cloud.
Lastly, our ecosystem is critical for all our efforts to provide our customers with beneficial innovations for their digital transformation. We have 2,100 partners on 麻豆原创 BTP, and there are 2,000 innovative partner solutions on the today. More than 360 of these solutions offer AI capabilities that drive business value.
Can you give us a snapshot of the major announcements this year?
Each of these advancements reflects 麻豆原创鈥檚 commitment to become the No. 1 generative AI enterprise application ecosystem together with our partners and supported by our platform, 麻豆原创 BTP.
- 麻豆原创 Build Code offers AI-powered productivity tools for developers. It鈥檚 an exciting evolution of the 麻豆原创 BTP low-code solution that we launched last year. Our unified lobby of tools enables enhanced collaboration between citizen developers, professional developers, and IT departments. Developers will be able to create new applications or extensions for 麻豆原创 solutions using our generative AI assistant Joule to generate code, create data models, and test data for applications.
- New vector capabilities for 麻豆原创 HANA Cloud allow developers to enrich business data with unstructured data including text, images, and audio. This is a unique offering from 麻豆原创, as customers will be able to combine the intelligence of LLMs with their business-specific data to provide accurate, relevant, and insightful responses. is the database management foundation of 麻豆原创 BTP.
- AI Foundation on 麻豆原创 BTP is our one-stop-shop for developers to build business-ready AI applications and extensions on 麻豆原创 BTP. From ready-to-use AI services to AI runtimes and lifecycle management, we鈥檙e providing the tools developers need to manage enterprise-grade generative AI with security, governance, and trust. As part of AI Foundation we will also include a generative AI hub in 麻豆原创 AI Core to provide developers with instant access to a broad range of LLMs from different providers.
- Learning is foundational to 麻豆原创鈥檚 ambitious goal to upskill 2 million professionals by 2025. Our newly announced role-based certification for ABAP Cloud back-end developers will drive expert skillset growth for agile cloud business transformation. Moreover, we鈥檝e supplemented the with a new , which explains how to build and implement business applications on 麻豆原创 BTP.
How do 麻豆原创 solutions help developers, data scientists, business users, and other professionals power their personal success and organization鈥檚 growth?
麻豆原创 is already at the forefront of generative AI advancements. Over 24,000 cloud customers are actively using more than 130 AI scenarios built on 麻豆原创 BTP. We have the business data, processes, and customer relationships, and we believe that most business AI capabilities will be consumed in an embedded way.
麻豆原创鈥檚 unique access to business data and our industry depth — together with our foundation in ethics, data privacy, compliance, and security — mean that we鈥檙e able to deliver unparalleled automation and seamless human-machine collaboration capabilities to our customers.
Most important, 麻豆原创 Business AI is relevant, reliable, and responsible. In our trusted environment, people are creating relevant AI use cases in the context of their organization鈥檚 real-world business processes and embedded into their daily 麻豆原创 systems. These use cases are reliable because they鈥檙e based on an understanding of both the business data and what it means within the business process.
Finally, our AI is responsible as it is built on leading ethics and data privacy standards.
How are customers and partners generating business results from 麻豆原创 BTP generative AI capabilities?
Many of our partners are pioneering multiple generative AI use cases with our support.
麻豆原创 partner and customer HCLTech is using AI technology to simplify daily tasks like recruiting in 麻豆原创 SuccessFactors software for speed and efficiency in finding the best job candidates. They鈥檙e developing a catalog of generative AI-infused processes across industries and line-of-business use cases. India鈥檚 Mahindra & Mahindra, which has automated more than 250 business processes in just three months using 麻豆原创 Build Process Automation, has piloted two generative AI use cases.
In Brazil, social enterprise startup SDW brings clean water to over 20,000 people. The company used 麻豆原创 Build Apps to develop an app that speeds up field worker collaboration and analyzes accurate data to help measure the impact of its services against KPIs, proving ROI that boosts investments for growth. Henkel is co-innovating with 麻豆原创 on its first large-scale generative AI use case, combining natural language processing, simulation, and planning to make decisions faster.
Can you preview what developers should expect from 麻豆原创鈥檚 generative AI vision as we head into 2024?
We are building AI capabilities, including our new generative AI copilot Joule, into our cloud-based enterprise applications. This includes 麻豆原创鈥檚 just ask feature in , available in Q1 2024. We鈥檒l also continue expanding access to LLMs in the generative AI hub. Watch for more generative AI use cases that will be released in the first half of 2024.
