Data Science LeadersData science is booming, but scaling it in the enterprise is hard. The playbook is still being written. Author: Domino Data Lab
Data Science Leaders: The premiere podcast for executives tackling the worlds most important challenges with the power of machine learning and artificial intelligence. Join host, Thomas Been, as we interview pioneering data science leaders and industry watchers to unearth the secrets to driving transformative business outcomesand avoiding a myriad of pitfallswith the latest ML & AI technologies. Our conversations are full of real stories, breakthrough strategies, and unique insights to help you build your own model for enterprise data science success. Language: en Genres: Business, Management, Technology Contact email: Get it Feed URL: Get it iTunes ID: Get it |
Listen Now...
Measure Everything Except the Thing
Episode 102
Wednesday, 28 October, 2026
The tower stood ten meters up in a stretch of Spain close to the Portuguese border so remote there was no cell signal to be found. Every twenty-four hours someone had to climb it, pull the memory card, and come back the next day. The reason? How much groundwater were the oak trees here actually drinking? Since the ecologists couldn’t measure it directly, they measured everything around it instead.Over 10 years later, one of those ecologists, Leo Reyes, is Global Head of Data Science for R&D at WPP, where the measurement problem looks different, but is fundamentally the same. Identifiers are disappearing, client data will not leave client systems, and his organization has gone from one or two AI agents to nearly a thousand. He leads four hundred data scientists through it with an ecologist's instincts: think holistically, account for what you cannot see, and when the water keeps rising, stop building taller walls and go fix the forest upstream.Leo brings:Why the fastest way to measure something is often to measure everything that it isn'tWhat changes in AI governance when you hand teams a token budget instead of a policyWhy accuracy is table stakes and transparency is the thing clients actually buy





