Episode 3. Get ready because we're bringing stats back! An AI model can only learn from the data it has seen. And business problems can be solved with the right data. The Fundamentalists break down the basics of data from collection to regulation to bias to quality in AI.
How do big tech's LLM models stack up to the proposed EU AI Act?
The EU is adding teeth outside of the banking and financial sectors now.
Bringing stats back: Why does data matter in all this madness?
What are your business objectives? Don’t just throw data into it.
What is data governance? How do you validate data?
What else should we learn about our data collection and data processes?
The importance of data curation and data selection in data quality.
The importance of data provenance and data governance in data science.
Data governance seems to be 40 % of the path to AI model governance. What else needs to be in place?
Do you have a question or a discussion topic for the Fundamentalists? Let Susan know at email@example.com