Super Data Science: ML & AI Podcast with Jon Krohn 846: Making Enterprise Data Ready for AI, with Anu Jain and Mahesh Kumar
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Dec 20, 2024 
Anu Jain, CEO of Nexus Cognitive, and Mahesh Kumar, CMO of Acceldata, delve into transforming enterprise data for AI success. They discuss the critical need for updated data governance, emphasizing how minor data errors can drastically impact financial decisions. The conversation highlights the integration of composable data architectures and the role of data observability in ensuring high-quality data for AI applications. They also explore strategies to reduce vendor lock-in and enhance automation in data management.
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Data Provider Example
- A data provider with data from 130 countries used Excel Data.
- Finding root causes of data issues went from weeks to hours.
Outdated Credit Scores
- A bank used AI for loan/credit card offers but had outdated credit scores.
- This small data error cost them tens of millions of dollars.
Data Costs
- Data storage costs are decreasing, while data compute costs are rising.
- Decoupling compute from storage offers flexibility and avoids vendor lock-in.