Ep.93 Michelle Conway and Sarah Schlobohm- Machine Learning in the Real World Lessons from the Experts

Welcome to another captivating episode of the Women in Data® Podcast! Today Karen is joined by two exceptional experts in the field: Michelle Conway, Lead Data Scientist at Lloyds Banking Group, and Sarah Schlobohm, Head of AI and Particle Physicist. Together they discuss the world of Machine Learning Ops.  A central theme of the discussion revolves around the lifecycle of MLOps and the concept of Machine Learning as a "solution to a problem”. Michelle, Sarah and Karen delve into this idea, stressing the importance of identifying the right opportunities for Machine Learning to truly be effective. They discuss how businesses can avoid falling into the trap of implementing ML without a clear understanding of appropriate applications.  They also highlight how Machine Learning doesn't operate in isolation but requires seamless integration with other data departments, such as data governance. This comprehensive approach ensures that ML initiatives are well-aligned with the overall data strategy of the organisation, leading to more successful outcomes.  This episode is a must-listen for anybody looking to learn more about ML Ops and the potential applications of this exciting field. 

Om Podcasten

Welcome to the Women in Data Podcast, where every other week your host, Karen Jean-Francois interviews some of the most inspiring women working in data. Through each episode, they share their invaluable experience and knowledge. Leaving no stone unturned, the WiD Podcast series will provide you with information on the use of data in various industries, plus helpful tips for career development. More importantly, it will enable you to become the data professional you want to be.