Artificial Intelligence has now moved beyond the lab and into production processes. But simply adopting a new technology isn’t enough: value comes from the ability to rethink processes, organization, skills, and decision-making methods around data.

What does a manager really need to know about AI, without getting lost in technical details? Where can it already generate concrete results in terms of efficiency and innovation? And what does it take to move beyond the pilot phase and turn AI into a competitive advantage for the company?

In this session, thanks to the insights of Javier Zamora, Professor of the Practice of Management of Operations, Information, and Technology at IESE Business School, participants will explore analytical models and business case studies to understand how to develop an AI adoption strategy that effectively integrates technology, data, people, and the organization.

In particular, participants will have the opportunity to explore:

• what AI can do today, what it cannot do, and why data is the true prerequisite;
• how to apply AI in production processes, through concrete examples of operational efficiency and innovation;
• how to move beyond the pilot phase by rethinking processes, skills, and governance to transform AI into concrete and scalable results.