Developer
AI Readiness Starts with Data Discipline
Vol. 2, Issue 10 Preparing for AI by strengthening the systems your business already depends on. A Message from Matt Preparing for AI has quickly become a board-level conversation. But the questions I get are less and less about technology. They're more about confidence. Can we trust our data?...
3 AI Mistakes Mid-Market Companies Are Making
Why AI Adoption Is Accelerating - But Competitive Advantage Isn't TL;DRAI adoption across mid-market companies is accelerating. But measurable competitive advantage remains rare. Three strategic mistakes are limiting financial impact: Starting with AI tools instead of business outcomes Skipping governance and acceptable use policies Measuring activity instead of financial ROI...
Why AI Fails Without a Data Warehouse
TL:DRMost AI initiatives don't fail because of bad models or tools. They fail because the data underneath them is fragmented, inconsistent, and ungoverned. A data warehouse provides the single source of truth AI needs to deliver accurate, explainable, and trustworthy outcomes. If AI is on your roadmap, the foundation matters...
AI Is More than a Strategy. It’s a Lever.
A Practical AI Strategy Framework for Mid-Market Companies TL;DRAI is not a strategy. It's a leverage mechanism. For mid-market companies, AI creates value in five ways: Generating output Predicting outcomes Automating processes Optimizing systems Scaling interaction The strategic question isn't whether to adopt AI. It's where AI materially impacts revenue,...
