Part 2: You Own the Portfolio. So Why Does It Take Days to See How It’s Doing?
Part 1 of this series made the case that the data infrastructure gap — not the AI model — is what limits most PE firms. The data exists. The systems exist. The problem is that no single layer connects them, which means any question crossing system boundaries still requires an analyst to assemble the answer by hand. […]
Part 1: Your AI Can’t Read Your Deal Pipeline. Here’s Why.
The Demo Always Works I’ve watched this scene play out more than once. A PE firm brings in a vendor — or asks their existing software provider — for an AI demo. The pitch is compelling. The model flags anomalies across data room documents, surfaces cross-portfolio performance comparisons, and pulls sector benchmarks faster than any […]
Proper AI Governance is an Operating Model
A group of principles and policies in support of AI Governance is not sustainable. Currently, many organizations are approaching AI governance like a static compliance checklist, an IT security gate, or a set of abstract ethical principles written on a slide deck. Policy establishes intent. Governance requires mechanisms to execute that intent continuously. This distinction […]
Stop Waiting for a Winner
The Fork in the Road Everyone Pretends Is a Roundabout This is Part 2 of a two-part series on Microsoft Fabric and Azure Databricks. Part 1 covers the decision framework, when each platform fits and how to think about using both. This post assumes you’ve crossed that line and are ready for the unvarnished version. I’ve been in the […]
Microsoft Fabric, Databricks, or Both? A Decision Guide for Data Leaders
This post is part 1 of a two-part Modern Data Platform Series examining Microsoft Fabric and Databricks. The question isn’t which platform wins, it’s knowing when each one fits, and how to make them work together. Every few months, I find myself in a room where the same argument is playing out: an engineering lead who’s invested two years building with Databricks defending that bet to a new CDO who just […]
AI-Enabled QA: A Smarter Way to Scale Software Testing Without Slowing Innovation
It’s 11 p.m. the night before a major release. A developer has just spotted a regression, a bug quietly introduced two sprints ago that somehow made it through testing. The release slips. The post-mortem is uncomfortable. And somewhere in the back of everyone’s mind is the same uneasy question: how did we miss that? For many software teams, […]
How AI Is Transforming Testing for Data Engineering Teams
Here’s a common scenario data engineering teams face: it’s the final stretch of a data platform delivery. The pipeline is built, the transformations are working, and the deadline is tomorrow. There’s a mental checklist running in the background and somewhere near the bottom sits unit testing. The internal negotiation begins: “The integration tests passed. The data looks right. I’ll write the […]
5 Best Practices for Deploying Microsoft Fabric Data Agents
The promise of conversational AI over your enterprise data is real. Ask a question in plain English, get a trusted answer grounded in your actual business data — no SQL required, no dashboard to rebuild, no analyst to track down. Microsoft Fabric data agents are making that possible today. But there is a meaningful gap […]
The Agentic Maturity Ladder: From Assistance to Autonomy
In our previous post, we introduced the three pillars of trust – contracts, evidence, and gates, that make agentic software development safe. But two questions remain: “How do we know when we’re ready for more autonomy? And what’s the ROI?” The answer isn’t a feeling. It’s a ladder. A progression of phases where each rung […]
Why SOC 2 Matters in the Age of AI-Driven Transformation
Every organization embracing cloud, AI, and modern digital delivery eventually runs into the same question: How do we move fast without creating risk? The acceleration of AI has widened a trust gap across industries. Boards want innovation. Regulators want assurances. Customers want transparency. And technology leaders are left balancing urgency with responsibility. In financial services, […]