Control cabinets, connectors, PLCs and Industrial AI

Most users know Phoenix Contact as a supplier for the control cabinet or as a PLC manufacturer. But the Blomberg-based company also wants to market AI models. Tom Hammerbacher explains to us how this is to be done. He is responsible for the Industrial AI division. In the podcast In the podcast, he explains to us how he and his team want to predict the customer's energy consumption, how he deploys AI at the customer's site and what role the PLC from Phoenix Contact plays in this. We also talk about model development in Blomberg and how the engineers test and use their technology in their own factory. The podcast is growing and we want to keep growing. That's why our German-language podcast is now available in English. We are happy about new listeners. We thank our new partner [Siemens](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html) [Our guest:] https://www.linkedin.com/in/tom-hammerbacher-82b879174/?originalSubdomain=de

Om Podcasten

The Industrial AI Podcast reports weekly on the latest developments in AI and machine learning for the engineering, robotics, automotive, process and automation industries. The podcast features industrial users, scientists, vendors and startups in the field of Industrial AI and machine learning. The podcast is hosted by Peter Seeberg, Industrial AI consultant and Robert Weber, tech journalist.Their mission: Demystify Industrial AI and machine learning, inspire industrial users. The hosts: Peter Seeberg is an Industrial AI and machine learning expert for the manufacturing industry. He worked over 25 years in IT (Intel) and 10 years in Automation. He co-initiated the Industrial Data Intelligence Startup (Softing) where he was responsible for managing machine learning projects in industrial environments. Today he advises companies when it comes to Industrial AI and machine learning. Together with Robert Weber, journalist for industrial topics, he discusses AI and ML applications, standards, and education topics, make or buy decisions as well as regulation for AI in manufacturing.