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.
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Ioannis Zempekakis
AI, Product & Innovation
Why AI Agents Don't Move Beyond Pilots
The main reason AI agents stay stuck in pilot phase isn't the technology—it's how the pilot is framed.
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Defining Seniority for AI Agents: It's About Trust, Not Just Capability
How we think about junior, medior, and senior AI agents at Prosus—and why it's really about delegation and control.
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Pushing the Boundaries of Building Innovative Tools: Key Learnings from Toqan & Otomoto
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.
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AI-by-Design: What to Remember
The 7 key takeaways from the AI-by-Design framework — from starting with customer needs to bringing the team together for the future.
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AI-by-Design in Practice: Real Cases from OLX
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.
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The AI-by-Design 6-Step Framework
A framework that merges the Double Diamond design approach with CRISP-DM methodology to help AI teams solve the right problem the right way.
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Why Do We Need AI-by-Design?
The advantages of combining design thinking with data science — and the 5 barriers that stop organisations from doing it.
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AI-by-Design: A Human-Centred Approach to Building AI Solutions
Introducing AI-by-Design — a 6-step framework for building AI solutions that are human-centred, ethical, and resilient.
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