To illustrate the potential of these collaborative agents, SAP presented two use cases at the conference.
The report said one example showed how AI agents could analyze and resolve issues related to incorrect invoices and payments.
Another demonstration showed how AI could streamline financial processes by automating tasks such as paying bills and updating the general ledger.
How SAP leverages data for business insights
In addition to improving its AI capabilities, SAP is also focused on improving how businesses can use their data.
The company is introducing a new solution called SAP Knowledge Graph, which will be available through its data management platform, SAP Datasphere and Joule copilot in early 2025.
The Knowledge Graph solution is described as a tool that maps relationships and context across an organization’s data landscape.
SAP says this will help businesses better understand their data and make more informed decisions.
The report suggests that by providing predefined relationships between various business entities, such as purchase orders and customers, the solution could significantly reduce the complexity of data modeling for organizations.
Empowering developers and closing the skills gap
SAP’s announcements also included new features aimed at software developers.
The report said the company is adding generative AI capabilities to its SAP Build platform, enabling developers to extend SAP’s software solutions.
These new features, including code explanation and documentation search, aim to reduce development time for programmers working with Java and JavaScript.
The report notes that SAP achieved its goal of upskilling two million people worldwide by 2025, ahead of schedule.
This initiative, which includes free training materials and role-based certifications, aims to address the global digital skills gap.
Going even further, the company also says it continues to expand its portfolio of AI-related learning opportunities to fill technology skills gaps.
