
An honest career story, and short letters simplifying AI, digital twins, data strategy, and the modeling, mathematics, and engineering skills for the AI and data driven industries. Life and culture lessons that I learned the hard way \ud83d\ude09.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 26 | Founded | 3 years ago | Last Issue | 12 days ago |
| Active | |||||

What most people get wrong about the data center debate:
⚡ “They’ll raise my electricity bill.”
Only grid-connected ones can. Behind-the-meter facilities build their own power, completely disconnected from the public grid. Zero ratepayer...
I’ve been told more than once to focus my digital twin presentations on IT because “no one cares about OT.” I focused on both, in my book too. This week is why. Water is life...
Coordinated cyberattacks hit water utilities across at least...
📊 Our ERP is a digital twin of business operations — finance, procurement, inventory, HR, manufacturing. It models our enterprise as transactions and workflows.
🤝 Our CRM is a digital twin of customer relationships — pipeline, interactio...
We offered to deploy AI agents for an organization at no cost. They said no.
A first instinct is "their resistance to change". But their concerns are completely rational. Those tend to follow a pattern.
Nobody cares how smart your AI is if it can't pass a security review 🔐
Here's what I've learned building AI-powered digital twins for enterprise:
The technology works. The ontology is sound. The equations compute. The agents reason, si...
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The writers behind this newsletter.
Author of the popular book Essential Math for AI (O’Reilly 2023) and the upcoming AI-Powered Digital Twins (Wiley 2026). A university math professor. A co-founder of a digital twin startup. An advisor for the public and private sectors.
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