Artificial Intelligence for Innovation

• Basic concepts: What are we facing? What is happening?
• Understanding where the models come from. AI in context.
• Basic technology to understand what these models do.
• On a personal and organizational level, what do I need to know? Where do I start?
• Rethink the way we work, the way we compete. The challenge is now, and it's urgent.

Workshop: Current state of AI. What can we do and what's on the cutting edge? Cutting-edge models and their current status.

• Developing hybrid strategies to fit the new industrial revolution. How to strategize and execute in this context.
• Challenges of bringing trends to reality: alternative ideas and their execution.
• Understanding the key trends in competing for customer data. What does AI mean right now?
• Examples of use. Where is AI having an impact? Creating AI-first competitors. Leadership and strategy implications.
• What are some of the best competitors in your industry doing in the world? Learn from the best.

• Entering a post-digital era: what's different?
• The challenges for a new leadership model: cyborgs are better than centaurs.
• Rethinking how to build organizations for a new era: results, structure, teams and collaboration. Everything changes.
• The opportunities in and around each sector: creating value ecosystems and managing collaboration.

The vision of the explorers: where companies are investing, how centers of excellence are structured, what profiles are hired, what experiments are being launched and the keys for scaling up.

• Current situation: from advanced ML models to foundational models, understanding the Swiss Army Knife of AI.
• Categorizing impact models and their challenges in different areas.
• Impacts on other business areas. Modeling impact analysis and working toward an implementation model. Creating a roadmap for your organization.

Workshop: Understanding what we can do with AI today. Challenges and options. Creating a roadmap for the exploration and implementation of GenAI.