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Thinaer Joins AWS, NVIDIA, and Armis at AWS Defense and National Security Industry Partner Forum on Physical AI

Thinaer Joins AWS, NVIDIA, and Armis at AWS Defense and National Security Industry Partner Forum on Physical AI

by Humberto De Santiago | Aug 27, 2026 | Blog

Notes from AWS's keynote, with Thinaer on stage, at the AWS Defense and National Security Industry Partner ForumInside the AWS Defense and National Security Industry Partner Forum Last month, Thinaer spent a week at Amazon HQ2 in Arlington, Virginia, for the AWS...

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What Is Operational Intelligence? A Guide for Industrial Operations Leaders

What Is Operational Intelligence? A Guide for Industrial Operations Leaders

by Humberto De Santiago | Aug 24, 2026 | Blog

AI models only see what's digitized. Most operations floors aren't. Equipment runs without a sensor attached, materials move without anyone logging where, and by the time a report reaches a decision-maker, it describes a shift that ended hours ago. Operational...

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Industrial Edge AI Is Reshaping Decision-Making — What It Actually Requires

Industrial Edge AI Is Reshaping Decision-Making — What It Actually Requires

by Humberto De Santiago | Aug 13, 2026 | Blog

You've got budget approved for an edge AI pilot. A vendor is promising real-time predictive maintenance or quality control right at the machine. No cloud round-trip required. Before you sign anything, it's worth asking what actually changed in 2026 to make this...

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Schneider’s $3.1B Bet on Industrial Data Contextualization

Schneider’s $3.1B Bet on Industrial Data Contextualization

by Humberto De Santiago | Aug 10, 2026 | Blog

Schneider Electric just agreed to pay $3.1 billion, in cash, for Cognite — a company most manufacturers had never heard of a month ago. The deal, announced June 30, 2026, is still pending regulatory approval. But the price tag alone says something worth sitting with:...

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Capture Layer Meets Cloud Intelligence: How Physical AI Pairs With Microsoft Azure

Capture Layer Meets Cloud Intelligence: How Physical AI Pairs With Microsoft Azure

by Humberto De Santiago | Aug 3, 2026 | Blog

Most Azure customers aren't short on AI and analytics horsepower. Power BI, Azure IoT Hub, Azure AI — the tooling is there. What's usually missing is the thing feeding it: real operational data from the physical floor, in a structured form those tools can actually...

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AI in Classified Environments: How Physical AI Starts Inside the Boundary

AI in Classified Environments: How Physical AI Starts Inside the Boundary

by Humberto De Santiago | Jul 30, 2026 | Blog

Every defense program office has had some version of this conversation: "We'd love to use AI here, but we're classified." It sounds like a policy problem. It isn't. The real blocker is that nobody has been able to capture structured operational data inside the...

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Digital Twins Need a Pulse: Why Physical AI Capture Is the Missing Layer

Digital Twins Need a Pulse: Why Physical AI Capture Is the Missing Layer

by Humberto De Santiago | Jul 27, 2026 | Blog

A digital twin can show a machine running at full utilization. On the actual floor, that same machine has been idle for twenty minutes. The dashboard isn't lying on purpose — it's working from the last data it received, and nobody told it the situation changed. This...

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Executive Operations Reporting Fails Without a Capture Layer

Executive Operations Reporting Fails Without a Capture Layer

by Humberto De Santiago | Jul 23, 2026 | Blog

A board meeting. A slide shows "94% operational efficiency" rolled up across the network. Someone asks how the number is calculated. Nobody in the room can answer with confidence. That's not a dashboard problem. It's what operational reporting quietly becomes once it...

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AI Troubleshooting in Manufacturing Only Works When the Capture Layer Does

AI Troubleshooting in Manufacturing Only Works When the Capture Layer Does

by Humberto De Santiago | Jul 20, 2026 | Blog

A line goes slow, a batch fails QC, output drops for no obvious reason — and someone points an AI tool at the operations data and asks it why. Increasingly, that's the first move: teams are adopting or piloting AI troubleshooting tools precisely because manual...

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Beyond the MES Trap: How Physical AI Capture Closes Manufacturing’s Visibility Gaps

Beyond the MES Trap: How Physical AI Capture Closes Manufacturing’s Visibility Gaps

by Humberto De Santiago | Jul 16, 2026 | Blog

Most manufacturers reach the same conclusion once an MES (Manufacturing Execution System) is up and running: "we have visibility now." The system tracks work orders. It logs quality checks. It shows the schedule on a screen. The visibility problem feels solved. It...

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