Explore the future of MLOps in the era of generative AI in this 13-minute video from Google Cloud Tech. Discover how chess, transformers, and the convergence of data analytics and machine learning applications are shaping the field. Delve into MLOps topics including faster experimentation, evolving practices, and optimal ways of working with Large Language Models (LLMs). Listen to insights from Firat Tekiner, Product Management team member at Google, and Donna Schut, Head of Applied Analytics & AI Solutions at Google Cloud, as they discuss the latest trends in data analytics and AI development. Learn about real-world examples and the value organizations can derive from integrating generative AI applications into their data analytics ecosystem. Gain valuable insights for both seasoned Data and ML professionals and newcomers alike, and stay ahead of the curve in this rapidly evolving field.
Overview
Syllabus
Introduction
Background
Interest in AI
Challenges around MLOps
Future of MLOps
Applications of GenAI
Where does GenAI create value
The most exciting potential of AI
Advice for organizations
Conclusion
Taught by
Google Cloud Tech
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