Ash Srivastava - August 27, 2024
Best practices in Master Data Management focus on centralization and standardization.
Creating a single source of truth for your data ensures that all teams have access to consistent, accurate information.
This reduces errors and enhances decision-making across the board.
How are you standardizing master data in your organization?
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.
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Weekly thinking on data and AI governance from Ash Srivastava.
