In this conversation, Vincent Pirenne interviews Alberto Prado, who shares insights from his extensive experience in leading AI and digital transformations at major companies like Unilever, Philips, and Nokia. They discuss the evolving landscape of technology disruption, the unique challenges of implementing AI in R&D, and the importance of building a robust data foundation. Alberto emphasizes the need for organizations to embrace change, foster partnerships, and focus on long-term growth strategies rather than short-term efficiencies. He also highlights the significance of leadership in navigating the complexities of AI transformation and the future of organizations in an AI-driven world.

Takeaways

• Technology breakthroughs drive the need for transformation.
• The pace of disruption is increasing in today's landscape.
• R&D requires high reliability and sophistication in AI models.
• Data quality and richness are crucial for AI insights.
• AI transformation in R&D needs a different approach than other functions.
• Building a data lab can accelerate R&D innovation.
• Organizational culture must embrace data as a key asset.
• Partnerships are essential for successful AI transformation.
• Measuring ROI should focus on growth, not just efficiency.
• The future of organizations will require a balance of human expertise and automation.