In this episode, Lasse Rindom speaks with Ben Torben-Nielsen, an AI expert with over 20 years in the field. Their insightful conversation covers a range of topics about AI strategies and real-world business applications:

• The debate over AI strategy—whether companies truly need one and the potential pitfalls of treating AI as a boardroom imperative
• The role and limitations of historical data, and when it supports growth versus when it’s "colored trash," emphasizing that not all data holds intrinsic value
• Industry-specific benefits of AI, such as enhancing speed and reducing costs, and how AI’s impact varies by business needs rather than hype cycles
• The complexity of explainability and AI bias, with Ben Torben-Nielsen challenging the necessity of explainable AI by drawing parallels to a doctor's trust in MRI results without knowing the underlying physics

Do you want to know more about Ben Torben-Nielsen?
With a career spanning over two decades in the AI industry, Ben Torben-Nielsen has dedicated his life to translating cutting-edge research into practical business solutions. His journey began in academia, where he led a small research group and earned a PhD in Artificial Intelligence and Neuroscience. This foundation, coupled with an Executive MBA, has enabled him to drive innovation at the intersection of technology and business.

Throughout his career, as a contributor or as a leader, Ben Torben-Nielsen has developed AI-powered products, secured multiple patents, and authored over 40 peer-reviewed papers to the scientific community. A highlight of his professional journey includes shaping the AI strategy for one of Europe's largest companies. His mission revolves around the ethical application of AI and data, aiming to create solutions that not only optimize performance and decision-making but also generate meaningful employment opportunities. As a passionate advocate for AI's potential, Ben Torben-Nielsen continually strives to foster both business success and human-centric outcomes in this rapidly evolving field.