30 Years of IT: What Network Engineering Taught Me About AI
The principles that made network infrastructure reliable are the same principles that make AI implementations successful. Here's what transfers.
Strategic thinking on AI adoption, operational efficiency, and business transformation. No hype, no buzzwords. Just practical guidance from 30+ years of technology experience.
Over 80% of AI projects fail to deliver meaningful value, nearly double the rate of traditional IT projects. RAND research found the #1 cause is misunderstanding the problem to solve. Here's what successful AI adoption actually looks like.
A self-assessment tool to evaluate your organization's readiness for AI adoption across strategy, infrastructure, and culture.
Open ToolMap your operational bottlenecks and identify which ones are the best candidates for AI automation.
Open ToolQuestions to ask AI vendors, red flags to watch for, and a structured way to compare solutions.
Open ToolPractical guidance on AI adoption and business transformation.
The principles that made network infrastructure reliable are the same principles that make AI implementations successful. Here's what transfers.
The single biggest predictor of AI project success isn't the technology chosen. It's whether leadership truly understands what they're deploying.
AI pricing is confusing by design. Here's how to calculate the true cost of AI solutions, including hidden expenses most vendors won't mention.
A practical framework for evaluating AI opportunities without the hype. Designed for decision-makers who need clarity, not buzzwords.
AI fluency isn't about everyone becoming a data scientist. It's about developing the vocabulary and mental models to make informed decisions.
Not another compliance checklist. A practical guide to AI governance that balances innovation with appropriate controls.
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If you're exploring AI for your business, let's have a conversation. No sales pitch. Just an honest discussion about what might work for you.