Ash Srivastava - August 27, 2024
In data quality, consistency is key.
This metric tracks whether your data is consistent across different systems and departments.
Inconsistent data can lead to confusion and errors, undermining the effectiveness of your data governance efforts.
What steps are you taking to maintain data consistency?
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.
