Capgemini exec shares lessons from SAP agentic AI projects
from Enterprise Apps Unpacked Hosted by Informa TechTarget
Agentic AI is the hottest trend in ERP. It promises to infuse enterprise applications with AI that anticipates users' needs, communicates with them in natural language and handles more of the tedium of working in ERP systems. SAP is one of the leaders of the push for agentic AI. It has aggressively added special-purpose AI agents and development tools for building custom agents and beefed up its data platforms to accommodate AI's needs. But in practice, building agentic AI that works across SAP and non-SAP systems is challenging, and it often requires outside help from a consulting firm or system integrator. In this episode, we explore the practical realities of implementing AI applications on SAP systems, including the design process, development tools and integration challenges. Featuring: Gianluca Simeone, Vice President, CTIO and GenAI Leader, Capgemini In today's episode, we'll also cover: Keys to successful agentic AI projects. Integration tools and standards for SAP AI. Whether non-programmers can use low-code development tools to play a meaningful role in agentic AI design. The status of multi-agent orchestration protocols. References: SAP pitches role-based Joule assistants as ERP work partners Agentic AI explained: Key concepts and enterprise use cases Simeone explains procure-to-pay project in SAP video To learn more about enterprise applications, check out Search ERP.
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