Smart Manufacturing
How Should Pharma Handle Documents for AI?
At the Industrial AI Summit 2026, attendees asked questions about pharmaceutical document integrity that the panel did not have time to answer live. Adam Procopio, Scientific Associate Vice President at Merck, and Kristen Sauter, President and…
Scaling Time Series for Automotive Manufacturing
A Practical Guide to Historian Augmentation Sponsored by InfluxData Data historians have served automotive manufacturing for decades, capturing signals from PLCs, robots, weld cells, and test stands across body shop, paint, stamping, and final assembly. The…
What CPG Plants Should Fix Before AI
Eighteen percent of U.S. product cost comes from manufacturing delays and downtime. Many CPG plants track line performance through overall equipment effectiveness, but those systems run offline on spreadsheets, clipboards, or disconnected software. The data to…
How Do You Secure Autonomous AI in OT?
This is the final part of three articles based on unanswered audience questions from the "From Data Streaming to Autonomous Action" session at the Industrial AI Summit 2026. Parts one and two covered context foundations and…
What Powers Industrial AI Agents?
This is part two of three articles based on unanswered audience questions from the "From Data Streaming to Autonomous Action" session at the Industrial AI Summit 2026. Where part one covered the data and context foundations,…
How Should Factories Prepare Context for AI?
At the Industrial AI Summit 2026, attendees asked questions about supplying context to industrial AI agents that the panel did not have time to answer live. Peter Sorowka, CEO of Cybus, provided answers covering how factories…
CPG AI Adoption Outpaces Data Readiness
Over half of U.S. CPG manufacturers have deployed AI across multiple sites, nearly double the global average, and 99% are confident it will deliver ROI by 2030. They also lose 20% of revenue to production inefficiencies,…
The Industrial Data Maturity Model
Manufacturers investing in AI, advanced analytics, and autonomous systems face a recurring problem: the data underneath these initiatives is not ready to support them. Amazon Web Services and HighByte published a 25-page white paper, "A Maturity…
How to Build Pharma AI Audit Trails
A pharmaceutical regulatory response team spends 30 days on a single agency question. Most of that time goes to finding documents. At the Industrial AI Summit 2026, Kristen Sauter, President and General Manager of Life Sciences,…
How Factory Data Becomes AI-Ready
HiveMQ launched HiveMQ Platform, expanding the MQTT infrastructure it has operated in mission-critical environments for more than 12 years into an industrial data platform that prepares operational data for agentic AI. The platform moves beyond data…
Why New CNC Machines Sit Idle for Months
A machine shop lays out $300,000 on a new machine and waits roughly two months before it cuts a single part. At IMTS 2026, Brent Kephart of Siemens explained what causes the delay and how the…
Factories Threw Away the Data AI Needs Now
Manufacturers have been disconnecting hard drives full of production data for years because their SCADA databases ran out of capacity. AI models now need exactly that data, full-resolution sensor readings and process histories, for training and…