Industrial Edge puts IT-style apps on rugged industrial PCs right next to your PLCs. Learn how it works, build it yourself, and see where AI genuinely helps automation teams.
Sending every value to the cloud is slow, costly and risky. Edge computing analyzes data on the plant floor and sends on only what matters.
Analyze machine data in milliseconds, right where it's generated, with no round trip to a data center.
Sensitive production data stays on site, reducing exposure and simplifying compliance.
Local apps keep working through internet outages, so production doesn't depend on a connection.
Install, update and roll back apps across many machines from one central manager.
Three building blocks: a central manager, edge devices on the plant floor, and the apps that run on them.
The control center. Onboard edge devices, manage users, and deploy, configure and update apps on every device from one web interface, on premises or in the cloud.
Rugged SIMATIC industrial PCs (or virtual edge devices) that run apps in isolated containers next to the machine.
Ready-made Siemens apps plus your own, working together over a shared data bus.
S7-1200 and S7-1500 PLCs, drives, sensors and any device that speaks OPC UA.
Collect cycle times, states and counts from PLCs and turn them into live KPIs without touching the PLC program.
Watch vibration, temperature, current and pressure trends to catch wear before it becomes downtime.
Measure energy per machine, line or product and find the biggest savings.
Run AI models next to the process to flag unusual patterns as they happen.
Add data collection and analytics to existing equipment without rewriting control logic.
Pre-process at the edge and send only clean, meaningful data to MES, ERP or the cloud.
Go from an empty edge device to live PLC data, a dashboard, a custom app and an AI model, in one day.
Controls engineers, OT/IT integrators and digitalization leads. Basic TIA Portal and networking knowledge helps; our PLC and networking workshops are a great start.
New for 2027. Dates are being scheduled; tell us you're interested and you'll hear first.
I'm interestedPractical artificial intelligence for the people who keep plants running. Learn where AI genuinely helps, where it doesn't, and how to use it on real equipment data without putting safety or production at risk.
This workshop introduces practical applications of artificial intelligence in industrial automation and manufacturing. You'll explore how AI can help interpret industrial data, recognize patterns, support equipment monitoring, assist with troubleshooting and improve day-to-day operational decisions.
Every concept is tied to a real factory task: condition monitoring, fault investigation, maintenance support and operational analysis. Working with representative industrial data and guided exercises, you'll see how AI complements the PLCs, HMIs and networks you already rely on, rather than replacing them.
Throughout, the emphasis stays on what matters in a plant: data quality, verifying AI-generated results, cybersecurity, and an honest look at the limits of AI in industrial environments.
Like every Got High Tech program, you keep a technical notebook from day one, the same discipline employers expect on real projects. It records:
Your notes, lab reports and final project become a portfolio you can show an employer.
AI is a powerful assistant, not a replacement for good engineering. These are the uses we see paying off today, and the ones we teach.
Group alarm floods into root events and summarize what happened, in plain language, for the next shift.
Turn fault codes, manuals and maintenance history into a ranked list of likely causes and tests to run.
Learn each machine's normal behavior and flag slow drift weeks before an alarm limit is reached.
Schedule service on actual condition and usage instead of fixed calendars.
Draft documentation, explain unfamiliar code and speed up research, with an engineer checking every answer.
AI advises; proven control logic and safety systems act. We teach where that boundary belongs.
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