Industrial AI Podcast

A podcast by Robert Weber / Peter Seeberg - Thursdays

Thursdays

Categories:

289 Episodes

  1. A silent night in Berlin

    Published: 8/23/2023
  2. Porsche combines bayesian networks with modern approaches to optimize production planning

    Published: 8/16/2023
  3. Are you working on a Siemens LLM? "We do!"

    Published: 8/9/2023
  4. Women in AI & Robotics: What role can AI play in robotics safety?

    Published: 8/2/2023
  5. Realtalk: Industrial AI, LLMs and demand forecasting for retailers and intralogistics

    Published: 7/26/2023
  6. Why everyone in the industrial sector should use/try code interpreter maybe for predictive quality.

    Published: 7/19/2023
  7. Object-Centric Process Mining

    Published: 7/12/2023
  8. Women in AI & Robotics: Can truly reliable DL models exist on given hardware systems at all?

    Published: 7/5/2023
  9. AI in China: Socialist content for LLMs

    Published: 6/28/2023
  10. Anniversary episode and how CLAAS designers use AI for CAD - 200 episodes Industrial AI Podcast

    Published: 6/21/2023
  11. Supply Chain and Industrial AI - from prediction to prescriptive

    Published: 6/14/2023
  12. Is Google the new Xerox? And Industrial AI trends from IoT Analytics

    Published: 6/7/2023
  13. Timeseries data and ChatGPT? Limits of LLMs in industrial applications

    Published: 5/31/2023
  14. China, patents and Industrial AI

    Published: 5/24/2023
  15. Requirements engineering for Machine Learning

    Published: 5/17/2023
  16. The future of transformers and RNNs, Open Source an AI, LLMs for OPC UA and LLMs with memory

    Published: 5/10/2023
  17. Building AI algorithms for marble-, packaging- and cnc-machines

    Published: 5/3/2023
  18. Aleph Alpha, HPE and the industrial robot

    Published: 4/26/2023
  19. The legeslative lasagne: AI Act

    Published: 4/19/2023
  20. What is data centric AI and why is it important for industrial AI?

    Published: 4/12/2023

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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.