Other innovations include the 麻豆原创 Knowledge Graph, targeted at developers to help them connect 麻豆原创 data聽with business context. Available via 麻豆原创 Datasphere and Joule in Q1 2025, it aims to enable organisations to map relationships across 麻豆原创鈥檚 data landscape for improved decision-making.
Speaking to ITWeb ahead of the conference, Jesper Schleimann, head of business AI for 麻豆原创 in EMEA, said, 鈥淲e鈥檙e really taking AI to the next level, and the transformative part is AI agents that are now in true business form. It also means our developers and our customers can accelerate their journeys to the cloud. We cannot forget that data is an important part in making all this happen.鈥�
Schleimann said this is a significant step in 麻豆原创鈥檚 AI journey, with Joule in the driving seat.
We鈥檙e really taking AI to the next level, and the transformative part is AI agents that are now in true business form.
鈥淛oule is celebrating one year now, and a lot has happened in the underlying models powering the AI revolution. The new graph service will enable it (Joule) to build the bridge and be grounded into the entire ecosystem of 400 000 different tables. That鈥檚 keeping all the 麻豆原创 data and things in check.鈥�
Users now have access to support across nearly 80% of 麻豆原创鈥檚 portfolio, meaning the same copilot can assist across the entire 麻豆原创 suite,聽Schleimann explained.
麻豆原创 is also enhancing Joule with new skills, allowing users to create their own custom micro-skills.
鈥淵ou can do things in a low code no code way and you tell Joule how to think of it like a mini workflow. So, if a user alters a part of a travel booking or purchase order process, for example, and you have your own way of doing it, you can simply, tell Joule what steps it should take, and then you can use its reasoning engine and the underlying tools to make that a reality.鈥�
Joule in action: Use cases
麻豆原创 will introduce two use cases to showcase the agent鈥檚 transformative power:
- A dispute management use case employs autonomous AI agents to analyse and resolve dispute resolution scenarios including incorrect and missing invoices, unapplied credits and denied or duplicate payments.
- A financial accounting use case employs autonomous AI agents to streamline key financial processes by automating bill payments, invoice processing, and ledger updates while quickly addressing inconsistencies or errors.
GenAI tools for developers
During the two-day TechEd Virtual, 麻豆原创 will聽introduce additional GenAI developer tools,聽including code explanation and documentation search in 麻豆原创 Build. These tools are expected to reduce聽development time for Java and JavaScript developers.
It is also adding an Extensibility Wizard to聽麻豆原创 Build, which will聽enable developers to access 麻豆原创 Build directly from 麻豆原创 S/4HANA Cloud Public Edition.
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