In a comprehensive session titled "From Predictive to Agentic AI," the speaker breaks down the core pillars of artificial intelligence, moving beyond surface-level explanations to explore how each type works, where it fits, and—critically—where it falls short.
The four pillars covered are:
- Predictive AI – systems that forecast outcomes based on historical data.
- Generative AI – models that create new content, from text to images.
- AI Automation – rule-based or learning-based systems that execute repetitive tasks.
- Agentic AI – autonomous systems that not only decide but also act to achieve goals.
The session argues that traditional AI often fails to deliver real business outcomes because it stops at intelligence without execution. Agentic AI represents a fundamental shift: from merely understanding to taking purposeful action.
Designed for builders, architects, and leaders, the talk aims to provide a structural understanding of how real AI systems are built—not just how they respond. The key takeaway: true modern intelligence is not just about predicting or generating, but about acting autonomously in complex environments.