Sophia Rowland, Senior Product Manager at SAS, discusses her journey from data science to product management at SAS, focusing on the integration of AI and analytics. She explains the concepts of Model Ops and ML Ops, the challenges organizations face in operationalizing machine learning models, and the critical role of analytics in this process.

Key Takeaways:

Dependency management errors that occur when IT and data science teams work in silos
The connection between algorithms and psychology, using data and software to tap into motivation
How to discern hype from meaningful advancements in emerging technologies
The influence of user behavior on AI adoption
Ways to stay updated in the rapidly evolving field of AI

Guest Bio: Sophia Rowland is a Senior Product Manager focusing on ModelOps and ML Ops at SAS. In her previous role as a data scientist, Sophia worked with dozens of organizations to solve a variety of problems using analytics. As an active speaker and writer, Sophia has spoken at events like the AI Summit, All Things Open, SAS Explore, and SAS Innovate; she has also written dozens of articles and blog posts. As a lifelong North Carolinian, Sophia holds degrees from both UNC-Chapel Hill and Duke, including bachelor’s degrees in computer science and psychology, and a Master of Science in Quantitative Management: Business Analytics from the Fuqua School of Business. Outside of work, Sophia enjoys reading an eclectic assortment of books, hiking throughout North Carolina, and trying to stay upright while ice skating.

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About this Show:

The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all!

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Music by: Ari Dvorin

Produced by: Sam Laliberte

The Role of Analytics in Shaping the Future of MLOps 32:42 Share

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The Role of Analytics in Shaping the Future of MLOps