On Principle: Purposefully Constructing AI Governance

The talk of the town this year, last year, and every single second since the Nov 2022 release of ChatGPT has been the use of applied and generative AI. Artificial intelligence has been a concept in data for decades and has taken on highly publicized initiatives like Watson, but never before has use of the

Bridging Data Engineering and Security: A Shared Responsibility Model

Designing secure data solutions isn’t inherently difficult. But implementing them in a modern enterprise? That’s a different story. It requires collaboration across data engineering, infrastructure, identity, security, DevOps, and cloud operations teams—each with their own priorities, vocabulary, and processes. We’ve seen this disconnect play out time and time again: a data engineering team engages the

Stratifying the Governance of Data

Ask a group of people to define “data governance” and you’ll get various responses.  Ironically, the term itself suffers from ambiguity, so here is how we define it: Digital transformation initiatives are a key driver for needing such data clarity, but there are others that we should keep in mind listed briefly here: One obvious

“Next Gen” Devices Aren’t Going to Solve Your Current Security Problems

next gen security, cybersecurity

Are you sick of the marketing hype suggesting some “Next Gen” security device can solve all your security problems? Yes? Good. If not, maybe you should be. Let’s pick on the Redmond giant for a moment to illustrate an example. Microsoft announced last month that after a legal victory, it had taken down 99 websites


Where Will You Take AI with Data?

Deliver AI That Gets Adopted.

Build Data Products. At Scale.

Use Data Governance to Fuel AI.

Ensure Trusted, Explainable AI.

Launch a GenAI MVP. Prove Value.

Let’s talk—No Pitch. Just Strategy.

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