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
A builder at the intersection of AI, product, and execution.
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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