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The foundation of agentic AI & BI: Context graph

Agentic AI systems are only as good as the context they operate in. In this session, Sailas Sundaram and guest speaker Boris Evelson walk through how a well-designed context graph blends data, business logic, and user intent to make autonomous BI insights more accurate and share practical guidance for organizations ready to adopt agentic BI. Watch demos of the agentic AI capabilities in Zoho Analytics.

About this webinar

Any agentic AI system is only as good as the context it operates in. AI agents in business intelligence can process data but struggle to understand it without a solid contextual foundation.

A well-designed context graph gives agentic BI systems the business knowledge they need to move past analysis based on assumptions. It blends data, business logic, and user intent in a way that makes autonomous, AI-driven insights more accurate.

Sailas Sundaram, Head of Product Management at Zoho Analytics, and guest speaker Boris Evelson, Vice President and Principal Analyst at Forrester, will walk through why context is the foundation that agentic BI is built on and how organizations can put it to work.

Key takeaways

  • An introduction to semantic and context layers, knowledge and context graphs, and ontologies, plus the differences between the five of them
  • The evolution and need for a context layer in an enterprise
  • The components that make up the next generation of agentic BI systems
  • Practical guidance for organizations adopting agentic BI
boris-evelson

About Boris Evelson (Guest Speaker)

‌ Boris serves technology, data, AI, and analytics executives, leaders, and professionals. He is a leading expert in data, analytics, and AI business and technology capabilities. Boris delivers strategic guidance, helping enterprises define data, analytics, and AI strategies, governance, and architectures and identify vendors and technologies that help them put information to use in business processes and end-user experiences. Boris’ current research focuses on the practical and actionable best practices for building data, analytics, and AI strategies, roadmaps, and business cases, including a holistic look at people, process, data, and technology components. Specifically, Boris researches technologies such as structured data analytics (aka business Intelligence) as well as mining and analyzing data from unstructured data (text mining and analytics) and semi-structured documents (document mining and analytics). Boris also continues to explore emerging trends, most recently the infusion of AI — including generative AI — into data and analytics enterprise applications and technologies.

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