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- Introductions
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- Agenda
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- AI Today
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- What is Data-Centric AI?
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- The Move to Data-Centric AI
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- Set Yourself up for Iteration
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- Great Tools Help Make Great Products
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- Make it easy to write, test, run, and reproduce your analytics
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- Solve one problem at a time
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- Quality is everyone’s problem, especially with data
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- Recap
Description:
Explore a data-centric approach to Machine Learning development in this 30-minute talk by Jimmy Whitaker, an expert in ML and NLP. Discover the latest advancements in AI, understand the concept of Data-Centric AI, and learn how to set up for effective iteration. Gain insights on using great tools to create outstanding products, simplifying analytics processes, and addressing data quality as a team-wide responsibility. The presentation covers key topics such as the current state of AI, the shift towards Data-Centric AI, and practical strategies for solving problems one at a time while ensuring reproducibility in analytics.

Rethinking ML Development - A Data-Centric Approach

Open Data Science
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