Ash Srivastava - October 8, 2024
Reference data is the backbone of your enterprise systems—think codes, classifications, and standards that unify your data landscape.
Best practice? Maintain a centralized repository for all reference data and ensure it’s up-to-date to avoid discrepancies.
What challenges have you faced in managing reference data?
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.
