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Manufacturing Visibility Starts on the Shop Floor: The Capture Layer Behind Physical AI

Manufacturing Visibility Starts on the Shop Floor: The Capture Layer Behind Physical AI

by Humberto De Santiago | Jul 13, 2026 | Blog

A plant manager pulls up the shift dashboard. According to the screen, six CNC machines are running, the calibration cart is parked in bay 3, and work-in-progress on line 2 is on pace. None of that matches what’s actually happening on the floor right now — two...
Industrial IoT Sensors: A Guide to Types and Technologies

Industrial IoT Sensors: A Guide to Types and Technologies

by Humberto De Santiago | Jul 9, 2026 | Blog

Search “industrial IoT sensors” and you’ll find plenty of lists: temperature sensors, vibration sensors, pressure sensors, proximity sensors. Useful, but incomplete. Knowing what a sensor measures doesn’t tell you whether that data will...
Capture, Learn, Act: The Physical AI Framework Explained

Capture, Learn, Act: The Physical AI Framework Explained

by Humberto De Santiago | Jun 29, 2026 | Blog

Every wave of enterprise technology has had a foundational architecture. For cloud, it was virtualization. For analytics, it was the data warehouse. For the current wave of AI in physical operations, the architecture has a name: Capture, Learn, Act. This is the...
Thinaer Releases Sonar Web 6.1.0, Capturing More of the Physical World and Making It Easier to Act On

Thinaer Releases Sonar Web 6.1.0, Capturing More of the Physical World and Making It Easier to Act On

by Humberto De Santiago | Jun 26, 2026 | Press

New sensor types, an expanded map experience (beta), and broader data export extend Sonar’s day-one visibility and strengthen the AI-ready data foundation underneath it. DALLAS, June 24, 2026. Thinaer, the Physical AI capture layer, today released Sonar Web...
IT/OT Convergence: How the Capture Layer Actually Works

IT/OT Convergence: How the Capture Layer Actually Works

by Humberto De Santiago | Jun 25, 2026 | Blog

Everyone says IT/OT convergence is the goal. Fewer people explain what it requires to get there — and almost no one talks about why so many attempts stall before they produce anything useful. The answer, in most cases, comes down to data. Specifically, to whether the...
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