Industrial AI Podcast

By: Robert Weber / Peter Seeberg
  • Summary

  • 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.
    Robert Weber / Peter Seeberg
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Episodes
  • NeurIPS 24: Faster than Flash Attention
    Dec 18 2024
    At the end of the year, Sepp Hochreiter looks back on the NeurIPS. We talk about the most interesting episodes and what may come next.
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    46 mins
  • Symphony AI on the shopfloor
    Dec 11 2024
    From grounded AI models to explainable AI and overcoming data silos, the conversation dives into the nuts and bolts of creating domain-specific AI solutions. Balancing people, processes, and technology, this episode sheds light on the challenges and opportunities in leveraging AI for manufacturing reliability, maintenance, and optimization.
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    40 mins
  • OEE and LLaMA
    Dec 4 2024
    Our guest is Joern Steinbeck and we discuss his GenAI approach with LLaMA. Joern explains in the podcast how he uses the LLM for OEE optimisation and what he has learned.
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    19 mins

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