Ash Srivastava - August 27, 2024
Tracking data lineage is crucial for understanding the journey of your data from source to consumption.
It provides transparency, helps identify potential data quality issues, and ensures compliance.
Knowing where your data comes from and how it’s used is key to strong governance.
How does your organization manage and visualize data lineage?
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.
