Join our live webinar and learn how to build and run machine learning models on live industrial data—no data science team required.
Today, building a predictive alert system for critical industrial processes often requires handing off the task to IT and data science teams, introducing delays and complexity. For example, a chemical process engineer might know exactly what signals indicate a risk of reactor overheating, but lack the coding skills to implement a predictive alert system. If you know your process, why wait? We're giving you the tools to act—fast.
The Solution: EOT’s Twin Sight ML Workbench & CrateDB
- Real-time data to insight pipeline
- Plug in your models, visualize results
- Works with SCADA, PI Systems, Snowflake, and more
What you will learn
- Deploy ML Without Code using EOT’s Twin Sight ML Workbench—connect real-time data, run models, and visualize predictions instantly
- Fast, Scalable Data Handling with CrateDB’s high-ingest, sub-second querying, and flexible storage for any data type
- Cost-Effective, Anywhere Deployment: From cloud to edge, avoid hidden costs and scale on your terms
- AI + SQL Simplicity: Use familiar tools (like SQL) and even ChatGPT to help generate Python scripts