In this episode of Deconstructing Data, hosts David Finkelstein and Jessie Lizak sit down with Daniel Burrus, CEO of Burrus Research, global technology futurist, AI strategy expert, and New York Times bestselling author, to explore how businesses can use data and emerging technology to anticipate customer needs, create deeper personalization, and turn AI insights into meaningful action. Daniel shares his Hard Trend methodology for separating predictable future facts from assumptions, giving organizations a framework for identifying opportunities and solving problems before they become disruptions.
The conversation explores how fragmented and outdated data can limit the value of AI, why organizations need to audit their data before putting it to work, and how combining data from multiple sources can enable hyper-personalization. Daniel also explains why AI should augment human thinking rather than replace it, and how businesses can move from an overwhelming number of possibilities to the vital few actions that can create measurable results. He also shares the AI tools and technology he uses, including multiple frontier AI models and his own technology resources, along with a free AI strategy report featuring tools and use cases.
Podden och tillhörande omslagsbild på den här sidan tillhör
BDEX. Innehållet i podden är skapat av BDEX och inte av,
eller tillsammans med, Poddtoppen.
