Learn how organizations are moving beyond basic AI assistants to AI that can reason, act, and deliver measurable results at scale. Many organizations claim to be deploying “agentic AI,” yet most initiatives remain confined to RAG-powered assistants or pilots limited to a single system.
True agentic AI requires connected, trusted enterprise knowledge and the ability to reason and act across complex, multi-system organizations.
Join Diego Tamburini, Executive Consultant & Director, AI Practice at CIMdata, and Jeff Evernham, CPO of Sinequa, for a candid discussion on how large, complex organizations are moving from AI experimentation to real-world, measurable enterprise impact.
In this session, you’ll explore:
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The architectural differences between RAG assistants and true agentic AI
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Why AI confined to a single system limits enterprise value
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How no-code agent platforms enable scalable deployment
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Organizational foundations required to operationalize AI
This is not a product demo — it’s a practical, advisory perspective grounded in real-world deployments across global organizations.
