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 18 hours 43 minutes
episode 222: AI in manufacturing: Combining operational and predictive data
Peter talked to Kevin Clark from Falkonry in the USA. He is the VP Time Series. In the news part we talked about the Industrial AI Canvas.
episode 221: What are AI ProductOps and why do I need them?
We know MLOps, DataOps and now AI ProductOps are coming. What do you need them for and who should use them? Robert Weber spoke to Anna Maria Brunnhofer-Pedemonte from Impact AI.
episode 220: The ImageNet moment of Robotics
A few weeks ago, Deepmind caused a stir in the robotics industry. The reason: the paper Scaling up learning across many different robot types. We spoke to Prof. Dr. Abhinav Valada from the University of Freiburg about the foundation models of robotics.
episode 219: Autonomous Industrial AI for production scheduling
Peter Seeberg talked to Bryan DeBois Director of Industrial AI at RoviSys. RoviSys is a global system integrator. Bryan speaks about autonomous Industrial AI.
episode 218: GenAI: More than ChatGPT. A new paradigm for the industrial sector
Prof. Dr. Jakub Tomczak has been researching GenAI for 10 years. He represents a new generation of researchers and is recognised throughout Europe as an expert on GenAI. He explains the new way of „thinking“ in AI.
episode 217: Industrial AI and AutoML - 2 days "AI in the forest"
Together with 30 decision-makers from industry, we spent two days discussing AutoML and TabPFN with Prof. Dr. Frank Hutter and his team and Prof. Dr. Marco Huber and discovered quite a few new approaches.
episode 216: How to deploy your ML models? Listen to Festo's approaches.
After all the LLM stuff: We talked to Dr. Martin Plank from Festo about a bread and butter topic. He explains us different approaches to deploy your ML model.
episode 215: xLSTM - "I am almost exploding"
Prof. Dr. Sepp Hochreiter presented xLSTM in Berlin a week ago. He talks about the European answer to ChatGPT and Co. We wanted to know why?
episode 214: Democratizing Industrial Data with generative AI
Peter Seeberg talked to Kurt DeMaagd, Chief AI Officer at Sight Machine - the data platform BASF, Nvidia, Komatsu, Heineken, Nike, Nissan and Jeep are using.
episode 213: How do I explain neural networks to my parents? Use the Crazy Village of AI
How do I explain neural networks to my parents? We talked to Prof. Günter Klambauer about his idea to use the Crazy Village of AI.