Exit or Die
Most companies think AI will fix their problems. It won’t. Peter Oberlik speaks with Mattias Protzmann [https://www.linkedin.com/in/mattias-protzmann-21aa1a14/], Co-Founder of Statista and now building Blockbrain [https://blockbrain.ai/], about why AI is failing in most organizations — and what companies get fundamentally wrong before they even start. After building one of Europe’s leading data platforms and multiple successful companies, Mattias is now tackling a problem almost every company has: Internal knowledge chaos. From data silos and broken processes to cultural resistance and knowledge drain, this episode dives deep into why AI doesn’t fix companies — it amplifies them. In this episode, you’ll learn: * Why AI fails in companies without clean processes * The real problem behind most failed AI projects * Why data silos destroy efficiency and decision-making * What separates real AI transformation from “innovation theater” * How to turn internal knowledge into a strategic advantage * Why culture — not technology — is the hardest part of AI adoption If you think implementing AI is the solution — think again. This episode is a must-listen for founders, operators, and executives who want to build real AI-driven companies — not just experiment with hype.
16 Episoder
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