Business Talk
In an age where algorithms and big data dominate decision-making, what truly sets humans apart is not the volume of data we can process, but the mental models, or frames, we use to make sense of the world. In this episode of Business Talk, Dr. Francis de Véricourt, Professor of Management Science at ESMT Berlin and co-author of Framers: Make Better Decisions in the Age of Big Data (Penguin Random House, named among the Financial Times' best books of the year), unpacks why human framing remains an irreplaceable cognitive superpower. While AI excels at identifying correlations, it cannot reason about cause and effect, imagine counterfactuals, or innovate beyond its training data, limitations that Newton and Einstein never had when predicting the moon's motion or the existence of black holes, long before a single data point confirmed their theories. Dr. de Véricourt argues that the art of good decision-making lies in choosing the right frame for the right context, much like knowing when to use a street map versus a subway map, and that constraints, far from limiting our thinking, are what make truly creative and actionable ideas possible. As leaders and organizations navigate complexity, the most urgent imperative is this: protect and strengthen your framing ability, rather than surrendering it to algorithms. This podcast is brought to you by Global Management Consultancy. Disclaimer: 1. The background music incorporated in this video is the intellectual property of its respective developer and is protected under applicable copyright laws. Notwithstanding that it is a free-to-use version, Business Talk, Global Management Consultancy, and Deepak Bhatt do not own, and expressly do not claim, any rights, title, or interest in or to this music. 2. Dr. Francis de Véricourt shared key insights from his book, “Framers: Make Better Decisions in the Age of Big Data”, in an engaging episode of the Business Talk podcast. The uploaded video contains copyrighted content, so changing any graphics, music, or on-screen appearance of the author or host is not allowed.
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