AI Moats: It's Not About Data Volume, It's About Structure
Why data volume isn't a defensible moat and what actually matters for building lasting AI advantage.
My 2cents on AI agents, product innovation, and the startup journey
Why data volume isn't a defensible moat and what actually matters for building lasting AI advantage.
The main reason AI agents stay stuck in pilot phase isn't the technology—it's how the pilot is framed.
How we think about junior, medior, and senior AI agents at Prosus—and why it's really about delegation and control.
8 hard-earned lessons from building AI agents at scale — from the Pareto principle of agent value to why users who hack your product are your best signal.
The 7 key takeaways from the AI-by-Design framework — from starting with customer needs to bringing the team together for the future.
How the AI-by-Design framework plays out in real projects — from solving the wrong problem to building datasets with users and designing for trust.
A framework that merges the Double Diamond design approach with CRISP-DM methodology to help AI teams solve the right problem the right way.
The advantages of combining design thinking with data science — and the 5 barriers that stop organisations from doing it.
Introducing AI-by-Design — a 6-step framework for building AI solutions that are human-centred, ethical, and resilient.