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The Data Professional in the Era of Generative AI

Google Cloud Tech via YouTube

Overview

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Explore the evolving landscape of data and machine learning in the era of generative AI in this 26-minute video from Google Cloud Tech. Delve into the convergence of DataOps, MLOps, and Large Language Models (LLMs), examining how data analytics and machine learning applications are increasingly intertwined. Discover why Data and MLOps are more crucial than ever and understand how successful machine learning relies on a robust data ecosystem. Learn from real-world examples showcasing the value organizations can derive by integrating generative AI applications into their data analytics ecosystem. Gain insights into the challenges and opportunities presented by GenAI, the continued relevance of traditional statistics, and the growing overlap between data and machine learning operations. Whether you're an experienced data professional or new to the field, acquire valuable knowledge to stay ahead in this rapidly evolving domain.

Syllabus

Intro
Background
How did you become interested in AI
How traditional statistics still works with AI
Data and ML overlap
ML and Data Ops
Challenges with GenAI
Examples with GenAI
Data Analytics

Taught by

Google Cloud Tech

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