Ash Srivastava - August 27, 2024
Reference data might not be glamorous, but it's essential.
It ensures that terms, codes, and classifications are consistent across your entire organization.
This consistency is what drives reliable analytics and informed decision-making.
Are you prioritizing reference data in your governance initiatives?
First shared on LinkedIn.
Dumping a database into a prompt doesn't solve search. In the AI era, data engineering is about filtering noise so the model gets the right context.
It was inspiring to share the stage with great leaders and engage with a room full of passionate professionals, students, and technology enthusiasts...
Documentation doesn't need to be a multi-month writing project. Record the work, let an LLM structure it, and review in thirty seconds.
Go deeper: AI Audit Checklist: What Auditors Will Ask For | NIST AI RMF Explained: Govern, Map, Measure, Manage
Weekly thinking on data and AI governance from Ash Srivastava.
