Building Well-Architected Machine Learning Solutions on AWS with Phil Basford
November 9, 2022
In this episode of MLOps Live, Sabine and Stephen are joined by Phil Basford, CTO of AI and ML at Inawisdom.com. Phil talks about what it takes to architect a good ML solution. He goes into more detail, giving use cases for AWS solutions and optimizing resources to make ML, MLOps, and AI in general more agile. They further discuss ML insights for small teams and teams working on budget ML solutions.
Having dealt with numerous clients and businesses, Phil Basford talks about some of the worst ML moments and the lessons that professionals can learn from them. With Phil’s wealth of experience, he talks about safety concerns for teams using AWS, compares different ML systems, and speaks on how culture can affect the architectural and design process of an ML solution.
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Previous guests include: Andy McMahon of NatWest Group, Jacopo Tagliabue of Coveo, Adam Sroka of Origami, Amber Roberts of Arize AI, Michal Tadeusiak of deepsense.ai, Danny Leybzon of WhyLabs, Kyle Morris of Banana ML, Federico Bianchi of Università Bocconi, Mateusz Opala of Brainly, Kuba Cieslik of tuul.ai, Adam Becker of Telepath.io and Fernando Rejon & Jakub Zavrel of Zeta Alpha Vector.
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