Ash Srivastava - August 27, 2024
In today’s regulatory environment, Data Privacy is a top concern.
But privacy can’t be achieved without strong Data Governance.
Governance frameworks help ensure that data is classified, managed, and protected according to its sensitivity, reducing the risk of breaches.
Are your data governance practices supporting your privacy goals?
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.
