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 Industrial AI Podcast is a proud partner of the Women in AI & Robotics initiative. 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.
http://www.aipod.de
Gesamtlänge aller Episoden: 6 days 19 hours 47 minutes
episode 244: The xLSTM paper and a gripper
Peter Seeberg and Robert Weber talk about Hochreiter's xLSTM paper, about Schunk's 2D Gripper with GenAI Labeling, about revenues with LLMs and answer questions.
episode 243: Hope for Europe: The State of AI Talent Report
Where are the talents, where are they going, how are industrial companies performing to attract them , why are the Netherlands, Germany and the Scandinavian countries attracting more talents again? We asked Thomas Hurd from Zeki.
episode 242: AI explains Source Code
Our guest is Dr. Josef Waltl. He is the CEO of Software Defined Automation and explains us, how GenAI can help you to understand old PLC code.
episode 241: Beckhoff launches an AutoML tool
Robert Weber talked to Dr. Fabian Bause from Beckhoff about their new AutoML tool. The first step will focus on vision, followed by timeseries.
episode 240: What's going on with the Industrial AI Podcast?
We can't give anything away yet, but anyone who was at our AI in the Forest event will remember. You'll have to be patient until Monday. See you at the fair.
episode 239: Silo AI: Why Körber, Philips or Unilever work with them?
Peter Seeberg talked to the Silo AI CEO and Co-founder Peter Sarlin about their LLM-approach, use cases and what distinguishes Poro from other models.
episode 238: Timeseries Data: Deploy the model in the database
Dr. Julian Feinauer explains us how the AINode by Timecho works. It is based on the open source project ApacheIoTDB.
episode 237: Autonomous systems in process industry
Peter Seeberg talked to Dr. Mehmet Mercangöz. Mehmet is ABB Reader in Autonomous Industrial Systems at Imperial College London.
episode 236: Schaeffler and Siemens: How to train the Industrial Copilot?
In the podcast, we talk about the architecture of the Industrial Copilot, how Schaeffler wants to use it, why the customer provides data, how it is used and what the next steps are in the area of Industrial AI and GenAI.
episode 235: RAG in an industrial setting
Stefan Suwelack is one of our favourite guests, because hardly anyone in the industrial sector can explain new AI approaches so well.