DeepQuery - AI That Thinks Like a Data Analyst copertina

DeepQuery - AI That Thinks Like a Data Analyst

DeepQuery - AI That Thinks Like a Data Analyst

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 In this episode of Denodo Data Bites, Inessa Gerber, Director of Product Management at Denodo explores Denodo DeepQuery - a breakthrough innovation that brings agentic AI and reasoning capabilities directly into your data environment. Unlike traditional tools that simply generate SQL or retrieve answers, DeepQuery thinks like a data analyst, uncovering not just what happened but why it happened and what to do next. You’ll hear how DeepQuery moves beyond Query RAG to perform multi-step reasoning, synthesizing insights, evidence, and recommendations across complex, distributed data systems. Inessa also explains how DeepQuery leverages semantic unification, real-time access, and federated governance to deliver transparent, explainable AI that supports strategic decision-making across industries—from healthcare and finance to education and public safety. Whether you’re a data leader, AI developer, or innovation strategist, this episode offers an inside look at how reasoning-driven AI can transform data analysis into actionable strategy. What You’ll Learn in This Episode:
  • What makes DeepQuery different from traditional AI or Query RAG approaches.
  • How agentic AI performs multi-step analytical reasoning for deeper insights.
  • Real-world use cases across healthcare, finance, education, and public services.
  • Why semantic unification and real-time federated access are key to explainable AI.
  • How developers can easily integrate DeepQuery through the Denodo AI SDK.
Listen now to discover how Denodo DeepQuery is redefining enterprise AI - taking it from simple answers to deep, strategic reasoning.
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