In this episode of Denodo Data Bites, Kevin Bohan, Director of Product Marketing at Denodo, discusses how AI is evolving across the enterprise. From early descriptive and predictive analytics to the rise of Generative AI and Agentic AI, Kevin explains how each phase expands the questions AI can answer and the impact on decision-making. You’ll hear how reasoning models are taking AI beyond answers to explain the “how” and “why” behind insights. Kevin also highlights the importance of real-time, governed, and connected data as the foundation for AI effectiveness, giving organizations the ability to generate actionable insights across complex, siloed data environments. Whether you’re a data strategist, AI enthusiast, or tech leader, this episode offers practical insights, real-world examples, and a clear path forward for organizations looking to leverage AI responsibly and effectively. What You’ll Learn in This Episode: 

• The major phases of AI evolution and how they impact enterprise decision-making.
• What prompted the industry-wide pivot to Generative AI.
• How Agentic AI differs from traditional GenAI and why it matters.
• Why AI’s effectiveness depends on robust data infrastructure.
• What reasoning models are and how they generate actionable insights. 

🎧 Listen now to discover how enterprises are moving from answers to deep, strategic insights using AI, modern data, and advanced reasoning models.