Industrial AI Podcast

We celebrate... with WinCC, Agents and a special guest Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS

Richard Socher, a leading AI researcher and founder of u.com, dives into the transformative power of large language models in business. He discusses how these models are evolving into the CPUs of the future, driving efficiency in sectors like manufacturing. The conversation highlights the challenges of AI integration, regulatory hurdles, and the importance of domain-specific data in automating knowledge work. Socher also emphasizes the role of open-source in enhancing AI capabilities, painting an optimistic picture for the technology's future in enterprises.

In this engaging conversation, Praveen Kapse, Vice President at Tridiagonal Solutions, shares insights on revolutionizing the process industries with AI. They delve into how PlantGPT enhances manufacturing operations and maintenance efficiency. Kapse discusses the impact of autonomous solutions in tackling workforce shortages, and the shift from reactive to prescriptive analytics. He emphasizes the importance of modular integration in engineering solutions and the growing relevance of edge computing in AI applications. A thought-provoking dialogue on the future of industrial AI!

In this episode of the Industrial AI Podcast we talk about MAN TruckScenes: the world's first freely available sensor and driving data for autonomous trucks. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS Huggingface: https://huggingface.co/NX-AI/TiRex Leaderboard: https://huggingface.co/spaces/Salesforce/GIFT-Eval Sicherheitshalber Podcast Tipp https://sicherheitspod.de/2025/06/10/folge-96-spinnennetz-oder-was-ki-militaerisch-kann-bundeswehr-und-personal-wunsch-vs-wirklichkeit/

Sepp Hochreiter, a pioneer of LSTM and head of the Institute for Machine Learning at Johannes Kepler University, discusses TiRex, a revolutionary time series model surpassing industry giants like Amazon and Google. He explains the evolution of LSTM to XLSDM, emphasizing its strengths in forecasting. TiRex is designed for user-friendly industrial applications with impressive speed and accuracy. Hochreiter also compares TiRex with competitors and shares insights on job opportunities for those eager to join the innovative team in Linz.

Tom Zehle, a data scientist at Airbus and researcher at LMU Munich, discusses his strategies for staying up to date with AI research. He shares innovative tools like Perplexity AI that help him analyze academic papers efficiently. Zehle emphasizes the importance of online communities and collaborative environments in keeping pace with advancements. He also explores the challenges of integrating theoretical frameworks with practical applications, highlighting knowledge management and the role of explainability in AI development.

Peter Seeberg talks to Thomas Dhollander, Co-founder & CPO at Timeseer.AI about Trusted IIoT Data as the Key to Proactive Operations. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS

In this episode, we talk to Lucas from MathWorks about their Safe AI Approach and how it can be used to make money, think about the Pope, and introduce our new US correspondent. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS

Peter talks to Pieter van Schalkwyck, CEO at XMPRO about Multi-Agent Generative Systems (MAGS) for transforming industrial processes. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS

In this compelling discussion, Thomas Hurt, a researcher at Siki Research specializing in global AI talent trends, shares important insights on the shifting dynamics of AI talent between the U.S. and Europe. He debates whether Europe can realistically attract this talent back, examining salary disparities and ethical AI promotion. Hurt also critiques the rigid structures in European academia that hinder innovation and discusses how universities can better prepare for incoming talent. Join the conversation on the future of AI careers!