SIMPLICITY FIRST
Complex solutions to simple problems are failures of imagination, not displays of intelligence.
Data architecture isn't about building perfect systems. It's about building systems that survive contact with reality.
"Most enterprise AI projects fail because they solve imaginary problems with real complexity."
I specialize in pragmatic solutions for enterprise data challenges. No buzzwords, no unnecessary complexity, just systems that work.
With 22+ years building data architectures for enterprises, I've learned that the best solution is rarely the most sophisticated one.
Complex solutions to simple problems are failures of imagination, not displays of intelligence.
If you can't measure it, you can't improve it. If you're not measuring it, you don't really care about it.
Every system fails. Design for graceful degradation, not imaginary perfection.
A pragmatic look at what actually works in enterprise data architecture, cutting through vendor promises to focus on practical implementation strategies.
READ MOREReal metrics from enterprise AI deployments show a different story than vendor presentations. Here's what you need to know before your next AI initiative.
READ MOREBreaking down the total cost of ownership for cloud versus on-premise data solutions, including hidden costs vendors won't tell you about.
READ MOREAvailable for consulting, speaking engagements, and interesting technical challenges.