AI promises to make organizations faster, smarter, and more efficient. Yet there is a significant gap between promising technology and applications that truly deliver in day-to-day operations. Where do you start? What genuinely adds value? And what needs to change within an organization to implement AI successfully?
From experiment to daily practice
Alumna Fleur Hasaart experienced this evolution firsthand. What started in 2017 as a small data science team at healthcare insurer CZ expanded into an organization where data and AI are embedded across multiple domains: serving customers faster and more effectively, analyzing legislation, and tailoring payment plans to individual circumstances.
How do you start when so much is still uncharted territory? Which use cases prove to deliver real value in practice? And how do you prevent new technology from getting stuck in the pilot phase?
Drawing on concrete examples, Fleur shares CZ’s journey and the lessons learned during the early years of what she describes as the 'AI winter.'
More than just technology
A successful AI transformation is never just about technology. People, processes, and organizational culture must evolve alongside it. Difficult questions also arise regarding privacy, compliance, and social responsibility.
How do you embed AI within an organization? Where do responsibilities lie? And how do you determine whether deploying AI actually creates value?
From hype to a grounded perspective
Professor of Artificial Intelligence Eric Postma reflects on Hasaart’s experiences, placing them in a broader context. What can we realistically expect from AI? Where does the hype end and genuine impact begin?
“Especially when it comes to AI, you still hear a lot of nonsense. And a lot of hype.”
— Eric Postma
Together, Hasaart and Postma also look ahead: what role will AI play in organizations in the coming years, and what does it take to truly seize its opportunities?