Show Notes
In this episode of <i>The Only Constant</i>, host Lasse Rindom speaks with Peter Vester, Lead Data Scientist at Novo Nordisk and winner of the 2024 DAIR Award for Data Science Professional of the Year. Peter’s approach cuts through the usual GenAI hype.<br /><br />Together they explore:<br /><ul><li>Why the right question is never “can we do a GenAI solution?” but “what real problem are we solving?”</li><li>How Novo rolled out an internal AI marketplace and chatbot to 30,000 employees without losing control or trust</li><li>Why the better the model, the more dangerous human laziness becomes</li><li>How to balance creativity and accuracy when deploying GenAI in a highly regulated pharma environment</li><li>The long-term risk: replacing engineers with AI and eroding critical system understanding</li></ul>For anyone interested in making AI work in the enterprise (not just in demos), this episode will spark plenty of reflection. <br /><br /><b>Do you want to know more about Peter Vester?</b><br />Peter Vester is Lead Data Scientist at Novo Nordisk with a PhD, several scientific publications and front-cover articles, and multiple international awards, including the DAIR Awards "AI / Data Science Professional of the Year 2023 / 2024" for the Nordic countries. He has also been recognized as a Top-100 talent in Danish Business by <i>Berlingske</i>. As a specialist in Generative AI, he leads a team developing high-quality business solutions with large language models and agents. <br /><br />Peter works on initiating and leading data science projects across a wide range of domains, including research, clinical trials, marketing, finance, and the supply chain. His passion lies in creating real business value from data by putting machine learning into production and going beyond the proof-of-concept stage. He is also an official subject matter expert in Machine Learning for AWS.<br /><br />To Peter, data science goes beyond just numbers - it’s about uncovering the stories they tell and the valuable lessons they offer. He compares it to scaling a mountain: full of difficulties, obstacles, and challenges, but with a view at the top that makes the journey worthwhile. Like any adventurer, he enjoys sharing the path he took, the hurdles he overcame, and the awe of standing at the peak of the data mountain.
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