Ash Srivastava - August 27, 2024
Timeliness is a data quality metric that often gets overlooked.
Data needs to be up-to-date to be useful.
Tracking timeliness ensures that decisions are made based on the most current information, enhancing the value of your data governance practices.
How timely is your 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.
