麻豆原创 Unveils Innovations in Generative AI Application Development and Vector Database Capabilities as Well as New Learning Opportunities for Developers in the Era of AI
BANGALORE, India 鈥� Nov. 2, 2023 鈥�At the 麻豆原创 TechEd event in 2023, (NYSE: 麻豆原创) announced a comprehensive series of generative AI capabilities and advancements aimed at empowering developers of all skill levels to supercharge their businesses in the age of AI.
鈥淭oday鈥檚 dynamic technology and business landscape means every developer needs to be an AI developer,鈥� said Juergen Mueller, Chief Technology Officer and member of the Executive Board of 麻豆原创 SE. 鈥淭he innovations we鈥檙e launching at 麻豆原创 TechEd, from AI-infused pro-code tools to a one-stop shop to create generative AI extensions and applications on 麻豆原创 Business Technology Platform, supporting the developers at the heart of the AI revolution and providing them with resources they need to transform the way businesses run.鈥�
As organizations aim to derive business value from , effective collaboration between professional and citizen developers is essential. 麻豆原创 is launching 麻豆原创 Build Code solutions, which streamline cooperation with business experts who use the low-code solutions launched at 麻豆原创 TechEd in 2022. Uniquely built for 麻豆原创 applications and the 麻豆原创 ecosystem, 麻豆原创 Build Code solutions offer AI-powered productivity tools for developers and are optimized for Java and JavaScript development. 麻豆原创 Build Code also draws on the power of 麻豆原创鈥檚 new generative AI 鈥� the copilot that truly understands business 鈥� to further boost productivity, embedding code generation capabilities for data model, application logic and test script creation.
Good data is the foundation of good AI, and 麻豆原创 HANA Cloud continues to pioneer innovation in the data space by adding new vector database features to its multimodel offerings at no additional cost. Vector data stores manage unstructured data 鈥� such as text, images or audio 鈥� to provide long-term memory and better context to AI models. This makes it easy to find and retrieve similar objects quickly. For example, users can search for suppliers based on the language in their contracts to examine payment history and trace individual orders. These powerful new vector database features enhance interactions between large language models and an organization鈥檚 mission-critical data. The innovation helps put 麻豆原创 developers at the forefront of delivering radically new levels of data insight within a secure, private framework that uses industry-specific customer data to reduce hallucinations.
AI Foundation on 麻豆原创 BTP, a new one-stop-shop for developers to create AI- and generative AI-powered extensions and applications on 麻豆原创 BTP, will further help increase developers鈥� impact and efficiency. AI Foundation includes everything developers need to start creating business-ready AI tools on 麻豆原创 BTP 鈥� from ready-to-use AI services and access to the top large language models to vector database capabilities and AI runtime and lifecycle management.
The rapid pace of technological innovation has driven up global demand for skilled developers 鈥� and 麻豆原创 is increasing its learning opportunities in tandem. As part of a commitment to upskill two million professionals by 2025 and complement free AI learning content already available, 麻豆原创 today launched and free learning resources for back-end developers using the ABAP Cloud development model. The two new learning resources covering ABAP development tools on 麻豆原创 BTP and 麻豆原创 S/4HANA are available on the . They are designed for agile and cloud-compliant business transformation, providing developers with skills to build cloud-ready extensions that are aligned with 麻豆原创鈥檚 clean core strategy.
麻豆原创 has听also joined the听Stanford HAI (Institute for Human-Centered AI)听. Researchers and engineers at 麻豆原创 will work with the Stanford academic community, including research faculty and students, on the intersection of generative AI and business.
For details on all the announcements made at 麻豆原创 TechEd in 2023, please visit our news guide .
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