Agentic AI: Generate New Use Cases for Business

In this forward-looking session from the Artificial Unintelligence Conference 2025, Mustafa Qizilbash (former Global AI Strategy Lead, Oracle; AI & Data Advisor) explores how agentic AI — systems capable of reasoning, learning, and acting autonomously — is transforming the way organizations innovate and operate.

Mustafa explains how agentic AI differs from traditional automation: it doesn’t just follow rules — it understands context, adapts in real time, and identifies new business opportunities. Drawing from real-world enterprise experience, he outlines the strategic and ethical frameworks required to deploy these systems responsibly, emphasizing that human oversight and domain collaboration remain central to AI success.

Key themes include:

What defines agentic AI and how it differs from traditional automation

The importance of business context and domain expertise in AI success

How agentic systems unlock new use cases across industries

Building governance and ethical frameworks for autonomous systems

Balancing machine autonomy with human-guided strategy