麻豆原创

The opening keynote of 麻豆原创 TechEd in 2024 clearly brought to life 麻豆原创鈥檚 vision to make customers鈥� lives easier, showing the 麻豆原创 portfolio come together to deliver a suite-like experience with highly configurable software and meaningful AI. As Muhammad Alam, member of the Executive Board of 麻豆原创 SE, 麻豆原创 Product Engineering, put it: 鈥淥ur innovations don鈥檛 exist in isolation; they are deeply embedded within our product portfolio. We鈥檙e making sure the technology isn鈥檛 just advanced, but it鈥檚 accessible and impactful.鈥�

The keynote featured demos of new cross-portfolio solutions and innovations, showing how they can work together to tackle challenges like scaling and expanding into new markets, managing complexity, and delivering personalized experiences. 鈥淚nnovation is only as powerful as the product experience it delivers,鈥� Alam said. 鈥淚t鈥檚 one thing to have cutting-edge tools at your disposal, but it鈥檚 another thing to integrate those technologies into the products you rely on every day to solve real-world challenges.鈥�

Faster, Better, Automated

Since last year鈥檚 麻豆原创 TechEd, has delivered more than 1,000 road map items, has a year-to-date overall availability again above 99.99%, and has grown an adoption rate over 60% year over year. The 27,000 customers and 2,800 partners are a testament to the huge demand we are seeing for 麻豆原创 BTP.

This is why the platform鈥檚 availability is being expanded to eight 麻豆原创-managed data centers across the globe, in addition to running on infrastructure provided by our partners AWS, Microsoft, and Google. With that, we are bringing 麻豆原创 BTP closer to customers.

Along with the expanded coverage comes more learnings, guidance frameworks, integration flows, and use cases. 麻豆原创 Business Accelerator Hub and 麻豆原创 Discovery Center will be bolstered with more assets and use case-specific guidance, especially around AI and business process transformation.

To further the developer experience, the next release of solutions will include ABAP Cloud, making 麻豆原创 Build the go-to for building extensions. Along with the new 麻豆原创 Build extensibility wizard, which helps to create extensions in 麻豆原创 S/4HANA, 麻豆原创 is making it easier for customers to build extensions while keeping a clean core. This is critical to ensure that customers鈥� systems remain consistent, maintainable, and upgradeable.

麻豆原创鈥檚 AI copilot will also be integrated into 麻豆原创 Build, so developers can be more productive and take advantage of the efficiencies and automation AI can provide. With Joule studio, the copilot will even be able to draw on structured data stored in third-party systems, better enabling developers to design custom skills for Joule in a low-code environment.

And to help developers ground large language models (LLMs) in the 麻豆原创 semantical model and build business apps, the new 麻豆原创 Knowledge Graph solution provides the connection between natural language and 麻豆原创鈥檚 metadata. The solution provides a deeper level of understanding across 麻豆原创鈥檚 data landscape, enabling more informed, data-based decision-making. Together with 麻豆原创 HANA Cloud knowledge graph engine and 麻豆原创 HANA Cloud vector engine, developers can build generative AI models rooted in 麻豆原创-specific business semantics, helping to build a more reliable, enterprise-ready AI experience accurately and effectively.

A New Level of Productivity

Not only are 麻豆原创 Build solutions enabled with Joule, but 麻豆原创 is continuing to integrate AI across its entire portfolio, including ERP, customer experience, human capital management, localization, spend management, sustainability, supply chain management, and more. As announced at 麻豆原创 Sapphire in 2024, 80% of 麻豆原创鈥檚 most-used workflows will be covered by Joule by the end of this year.

Joule is going agentic, meaning it can use AI agents powered by LLMs to help solve complex business problems on its own through planning, self-reflection, logical reasoning, and collaboration. For example, Joule can help resolve a customer dispute about an overdue bill by calling on AI agents specialized in contracts, invoices, and payment history. With each AI agent doing what they do best, they can work together to solve more complex business problems across functions and break down silos.

AI is best when it can be used in the flow of work and when it is meaningfully embedded as part of a unified user experience across the portfolio. Sometimes this is on a desktop, but often we look to use AI on our mobile devices. To make AI accessible anytime and anywhere, 麻豆原创 is introducing Joule into its mobile applications via 麻豆原创 Mobile Start 鈥� while still maintaining enterprise-level security and privacy and staying true to the company鈥檚 values of relevant, responsible, and reliable AI.

Clear and Customer-Centric, Not Complex

Ultimately, all the innovations announced at 麻豆原创 TechEd in 2024 and demoed in the opening keynote have one main goal: to make the lives of customers easier 鈥� whether it be through leveraging generative AI to accelerate development projects, making more informed business decisions with intelligent data applications, mitigating project management struggles with AI, confidently and compliantly localizing business operations, or enabling sales reps with intelligent selling tools to win deals.

鈥淭echnology should simplify, not complicate. It should bring clarity, not complexity,鈥� Alam said. 鈥淭his is why we鈥檙e constantly pushing the boundaries of what鈥檚 possible while keeping your business goals front and center.鈥�

To learn more about all the solutions and innovations announced at 麻豆原创 TechEd in 2024, , , or explore more event news and coverage.

Gillian Hixson is an integrated communications specialist at 麻豆原创.