Winning with data Episode 10: David ”Gonzo” González on The Productization of Data

David “Gonzo” González has well over a decade of experience putting AI and ML into production in mission-critical systems. Currently working on a stealth startup in the psychedelics space, he previously co-founded, acquired in 2020 by DataRobot where then served in an executive role bringing a jobs-to-be-done perspective to focus product strategy. Known as a pioneer of deep-learning-as-a-service and transactionally authored training and inference on multi-modal datasets, Gonzo authored The AI Manifesto for Applied Artificial Intelligence Development and has multiple ML patents.

In this episode of the Winning With Data podcast, David “Gonzo” Gonzalez talks about how AI, specifically the release of ChatGPT, is not well-designed for casual users at the moment. He remarks that it’s better to think of it as an external data source and find value with it. He also stresses the importance of building an understanding of your book of business to not waste resources. A good organization has a strong data- and insights-driven staff and builds its models based on their unique understanding of the field, without room for people or systems that don’t focus on the productization data. Gonzo talks about avoiding and working through mistakes in the analytics field, such as avoiding falling into the trap of starting a project all over when a small mistake is made.

Listen to the full episode here



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