GenAI to Agentic: Real-Time Data is the Game-Changer Copy

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August 12, 2025

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09:23 AM

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AI is evolving fast — from passive content generators to autonomous agents that can plan, decide, and act. But is your data infrastructure ready to support that shift?

In this episode of Data in Charge: Live, Volt Active Data Field CTO Dheeraj Remella breaks down what Agentic AI really means, why real-time, stateful data is mission-critical, and how to design systems that enable AI to take meaningful action, not just make predictions.

You’ll learn:

  • What separates Agentic AI from traditional generative models
  • How to apply the OODA framework (Observe, Orient, Decide, Act) to build responsive, intelligent systems
  • Real-world use cases including adaptive 5G slicing, fraud prevention, and cyber-threat triage

You’ll walk away with a clear understanding of what sets true agentic infrastructure apart from short-lived AI hype—and how to start preparing your architecture today.

Tune in to learn how real-time data helps AI move beyond being smart and become truly actionable!

Maya Thompson

AI Research Scientist

Maya Thompson is a leading researcher in artificial intelligence and machine learning, with over 12 years of experience developing ethical AI solutions for global applications.

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