Ep.1 | Data Quality: Why structured, reliable data is still the foundation of progress ? скачать в хорошем качестве

Ep.1 | Data Quality: Why structured, reliable data is still the foundation of progress ?

Data Quality | Why structured, reliable data is still the foundation of progress ? Guests: Dylan Anderson - Director of Data Strategy, Analytics & AI at Atombit, creator of “The Data Ecosystem” & Philippe Boulanger - Strategic Innovation & AI Consultant. Why do organisations generate more data than ever yet still struggle to extract real insights? In this two-part conversation, Philippe Boulanger sits down with Dylan Anderson to cut through the noise and get back to fundamentals: structured, reliable data as the true foundation of progress. In Episode 1, they explore why insights remain scarce despite data abundance, what “structured” and “reliable” data actually mean, and how weak standards, siloed systems, and inconsistent inputs quietly sabotage even the most advanced AI initiatives. Dylan shares real-world lessons — including a digital twin that couldn’t scale due to poor data quality - and outlines the practical steps leaders can take to fix their foundations fast. A clear, actionable discussion that debunks the idea that “more data” is the answer - showing instead why value comes from clarity, structure, and trust. Episode 2 will dive into how AI turns data quality from a challenge into an advantage.