Matthew Lynley has been a journalist covering the tech industry for more than a decade. Four years of this career have been spent covering analytics and data science - tools which he personally used. He is the founder of the Supervised newsletter that aims to help decision-makers sort through the hype and reality of AI tools and the future of big data analytics.

In this episode, Matthew goes over security for proprietary data troves, how that data may be sold or rented in the near future, the challenges of unstructured data, how big data could play into drafting, and foundation models vs. tooling and fine tuning.