Discover the transformative power of Machine Learning Operations (MLOps) as we sit down with Andy McMahon, the head of MLOps at NatWest Group and author of "Machine Learning Engineering with Python." Andy's transition from the world of theoretical physics to the cutting edge of MLOps has positioned him as a leading voice in the field. This episode promises to shed light on the sometimes-blurry lines between MLOps, data engineering, and data science, illustrating the crucial role of operationalizing machine learning models to make a tangible impact on business infrastructure.

Our conversation with Andy McMahon dives into the concept of 'value left on the table' and how MLOps ensures machine learning models are not just innovative concepts but are also deployed to drive real-world solutions. He emphasizes the importance of initiating MLOps practices early, to manage models and data effectively, steering organizations toward successful operational transformation. Moreover, Andy shares his expertise on evaluating the fit of machine learning for various business challenges, guiding our audience through the landscape of informed decision-making in the world of data and AI.

Looking ahead, Andy offers a peek into the future of MLOps and the integration of advanced technologies like large language models into everyday operations. He stresses the fundamental skills necessary to thrive in the evolving AI landscape, such as software engineering and system design. Additionally, we discuss the collaboration between NatWest Group and AWS, highlighting the pioneering machine learning initiatives detailed in a four-part blog series. This episode is a wellspring of insights for anyone with an interest in leveraging machine learning, from the banking industry to broader business applications, making it indispensable listening for forward-thinking professionals and enthusiasts alike.

What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.

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