The MyDataWork POV

What we believe

A few convictions drive the commentary you read here:

• Enterprise AI is an architecture you assemble, not a market you rank. The interesting questions are about how the layers fit together — data, governance, agents, and the context between them — not which single vendor "wins" a quadrant.
• The scarce resource is context, not tools or models. The business rationale, assumptions, and intent behind data assets is where the value lives — and it's exactly what agents need and what most catalogs still miss.
• Data work deserves its own system of record. Sales has CRM, finance has ERP; the people who turn data into decisions have been stitching together makeshift solutions. That gap is the through-line of most of our takes.
• We're skeptical of hype that ignores the lived experience of data workers. A capability that doesn't embed into real workflows is a blueprint missing the building.

How the commentary is made

Each MyDataWork POV is AI-generated in MyDataWork's voice, seeded from the essays of our founder, Gib Bassett, and shaped by the convictions above. Summaries of the news are neutral and factual; the POV is where the perspective shows — and it's always clearly labeled opinion, a lens on the news rather than fact. Sources are summarized and linked, never reproduced.

Where it comes from

This publication is an agentic information service of MyDataWork — the workspace built around that missing context layer: catalog your estate, capture the intent behind it, and scope AI use cases with confidence. If a take here resonates, that's the product putting the perspective into practice.