The Trust Layer for Enterprise AI: How Semantic Context Powers Reliable Agents | Datavid x Progress
The facts are rarely missing. They’re just not connected. See how knowledge graphs give enterprise AI agents the context to connect the dots and act with confidence.
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Resource type
On-demand video
Enterprise AI agents need more than a capable model. To support reliable business decisions, they need connected, governed context for the data they use.
In this PDP Summit session, Datavid CEO and Co-Founder Balvinder Dang explores how semantic context acts as a trust layer for enterprise AI. Using real-world examples and demonstrations from consumer goods and life sciences, he shows how knowledge graphs and GraphRAG help AI connect information, explain answers, and support better decision-making.
Watch the full session for practical insights and demonstrations of semantic context in enterprise AI.
Key takeaways
- Why enterprise agents need context, not just reasoning and tools
- How ontology, semantic, context, and knowledge graph layers differ and fit together
- How GraphRAG connects information to support more accurate, explainable answers
- How a knowledge graph helped answer a question that Copilot for Power BI could not answer adequately in the demonstration
Key topics covered
The Boston beer problem
The facts were available, but only some organizations connected the dots. Balvinder uses this example to show how a knowledge graph can connect events, travel, venues, legislation, and stock to provide an AI agent with the context it needs.
From LLMs and RAG to GraphRAG
See how connected context can help AI move beyond generic answers and disconnected information to address more complex business questions.
Enterprise context in practice
Explore a direct store delivery demonstration comparing Copilot for Power BI with a custom Copilot using Datavid Rover and a knowledge graph, followed by examples from life sciences and drug discovery.
Who should watch
- Data and technology leaders
- Enterprise and data architects
- AI and innovation teams building agents
- Consumer goods, retail and revenue growth management teams
- Life sciences and R&D data teams
- Data governance and semantic technology specialists
Speaker
Balvinder Dang, CEO and Co-Founder, Datavid (a C5i company)
Interested in how enterprise context can support your AI initiatives? 
