The Role of Analytics in Shaping the Future of MLOps

The Role of Analytics in Shaping the Future of MLOps

Author: Brave Software January 22, 2025 Duration: 32:42

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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Hosted by Brave Software, The Brave Technologist is a series for anyone curious about the real human impact of our digital evolution. It moves past the surface-level buzzwords to ask how technologies like AI, machine learning, and Web3 actually affect everyday decisions, privacy, and the fabric of society. The conversations here are grounded and thoughtful, prioritizing the user's perspective in a landscape often dominated by abstract visions of disruption. You'll hear from builders, thinkers, and technologists who are shaping these tools, discussing not just what is possible, but what is responsible and meaningful. This podcast sits at the intersection of technology, business, and marketing, examining how these forces converge to shape our collective future. It’s for listeners who want to understand the "why" and "for whom" behind the code, offering a nuanced take that is often missing from tech commentary. Tune in for a deeper, more inclusive dialogue about the systems that are redesigning our world.
Author: Language: English Episodes: 100

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