Akshat Nair

This talk will explore how AI is reshaping how organizations access, interact with, and act on enterprise data, moving from dashboards to dynamic, conversational analysis. You’ll see how blending natural language interfaces, governed data, and federated access breaks the BI backlog, radically accelerates insight velocity, and drives alignment across teams without sacrificing trust or control.

AI innovation shouldn’t be gated by pipeline delays or data migrations. This session shows how federated data products deliver instant, trusted access—fueling chatbots, agents, and multi-agent workflows that solve real business problems. We’ll walk through examples of a semantic layer built with data products that power both BI and AI. You’ll see how data products ensure more accurate AI results, simplify governance, and support experimentation with any LLM or agent framework. Real-world use cases will include: * A 1-day chatbot business project for answering questions with governed data * An autonomous agent driving decisions from live sources * A multi-agent workflow delivering dynamic, real-time insights Leave with a practical blueprint to accelerate AI—no warehouse rewrites, no delays, just results.