Options for Large Enterprises in ML Model Development

MLOps Coffee Sessions #176 with MLOps vs. LLMOps Panel, Willem Pienaar, Chris Van Pelt, Aparna Dhinakaran, and Alex Ratner hosted by Richa Sachdev. // Abstract What do MLOps and LLMOps have in common? What has changed? Are these just new buzzwords or is there validity in calling this ops something new? // Bio Richa Sachdev A passionate and impact-driven leader whose expertise spans leading teams, architecting ML and data-intensive applications, and driving enterprise data strategy. Richa has worked for a Tier A Start-up developing feature platforms and in financial companies, leading ML Engineering teams to drive data-driven business decisions. Richa enjoys reading technical blogs focussed on system design and plays an active role in the MLOps Community. Willem Pienaar Willem is the creator of Feast, the open-source feature store and a builder in the generative AI space. Previously Willem was an engineering manager at Tecton where he led teams in both their open source and enterprise initiatives. Before that Willem built the core ML systems and created the ML platform team at Gojek, the Indonesian decacorn. Chris Van Pelt Chris Van Pelt is a co-founder of Weights & Biases, a developer MLOps platform. In 2009, Chris founded Figure Eight/CrowdFlower. Over the past 12 years, Chris has dedicated his career optimizing ML workflows and teaching ML practitioners, making machine learning more accessible to all. Chris has worked as a studio artist, computer scientist, and web engineer. He studied both art and computer science at Hope College. Aparna Dhinakaran Aparna Dhinakaran is the Co-Founder and Chief Product Officer at Arize AI, a pioneer and early leader in machine learning (ML) observability. A frequent speaker at top conferences and thought leader in the space, Dhinakaran was recently named to the Forbes 30 Under 30. Before Arize, Dhinakaran was an ML engineer and leader at Uber, Apple, and TubeMogul (acquired by Adobe). During her time at Uber, she built several core ML Infrastructure platforms, including Michelangelo. She has a bachelor’s from UC Berkeley's Electrical Engineering and Computer Science program, where she published research with Berkeley's AI Research group. She is on a leave of absence from the Computer Vision Ph.D. program at Cornell University. Alex Ratner Alex Ratner is the co-founder and CEO at Snorkel AI, and an Affiliate Assistant Professor of Computer Science at the University of Washington. Prior to Snorkel AI and UW, he completed his Ph.D. in CS advised by Christopher Ré at Stanford, where he started and led the Snorkel open source project, and where his research focused on defining and forwarding the concept of “data-centric AI”, the idea that labeling and developing data is the new center of the AI development workflow. His academic work focuses on data-centric AI and related topics in data management and statistical learning techniques, and applications to real-world problems in medicine, science, and more. Previously, he earned his A.B. in Physics from Harvard University. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links ⁠ --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Richa on LinkedIn: https://www.linkedin.com/in/richasachdev/ Connect with Willem on LinkedIn: https://www.linkedin.com/in/willempienaar/ Connect with Chris on LinkedIn: https://www.linkedin.com/in/chrisvanpelt/ Connect with Aparna on Twitter: https://www.linkedin.com/in/aparnadhinakaran/ Connect with Alex on Twitter: https://www.linkedin.com/in/alexander-ratner-038ba239/