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Calling America - Jakub Tomczak reports

24 Minuten
In this episode, we dig into the recent Anthropic ban and what it signals for the global AI landscape. I connect with Jakob Tomczak to get an insider’s perspective from Silicon Valley and explore how this move impacts European companies, innovation, and the future of AI ecosystems. We also share firsthand impressions of the latest LLMs, debate whether true AI revolutions are on the horizon, and discuss the challenges Europe faces in scaling up. If you’re curious about the real dynamics behind AI development, hardware, and the shifting balance of power in tech, this conversation is for you.

Autonomous Data Science!?

40 Minuten
In this episode, we dive deep into the world of autonomous AI for data science with Doudou BA, CEO and founder of Octopus. I explore how Octopus is transforming raw data into actionable business decisions using advanced time series foundation models and agentic AI. We discuss the unique reasoning capabilities of Octopus, its intuitive approach for non-technical users, and how it stands apart from traditional AutoML solutions. Along the way, I share insights from VivaTech in Paris, including thought-provoking moments with industry leaders like Yann LeCun and Jeff Bezos. Join us as we reimagine the data science workflow and uncover what’s next for AI-powered business intelligence.

How a chemical engineer built an agentic manufacturing troubleshooting assistant

42 Minuten
In this episode, I sit down with Scott Duncan, a chemical engineer who built an agentic manufacturing troubleshooting assistant – without any coding background. We dive into the real-world challenges of process manufacturing and how AI is transforming the way plant issues are solved. Scott shares his journey from hands-on troubleshooting to leveraging large language models, knowledge graphs, and real-time data for smarter, faster problem-solving. We also debate the future of domain expertise in an AI-driven world and what it means for education and workforce development. Join me as we explore the potential – and the limitations – of AI in reshaping the future of industrial operations.

AI-Engineering Workflows

1 Stunde 34 Minuten
We just returned from three inspiring days at AI in the Alps, and in this episode, we dive into the most exciting breakthroughs and honest challenges facing industrial AI today. I share my firsthand impressions of revolutionary tools like TiRex-2, and we unpack what agentic AI really means for engineering, from breaking down data silos to transforming anomaly detection. Alongside Stefan Suwelack from Renumics, we discuss why skepticism has given way to optimism, how data infrastructure is finally catching up, and what the future holds for AI-driven organizations. The conversation is loaded with real-world examples, candid reflections, and a look at the evolving balance between sovereignty, open source, and big tech. Whether you’re an engineer, decision-maker, or just curious about the future of AI in industry, this episode offers practical insights and a glimpse into what’s next.

TiRex-2 - a multivariate time series foundation model

50 Minuten
In this episode, I sit down with Levente Zolyomi, a leading PhD researcher at NXAI, to unpack the next evolution in time series AI: TiRex-2. We explore how TiRex-2 builds on its predecessor by handling complex multivariate data and streaming scenarios, opening new frontiers for industrial forecasting. Levente shares the story behind TiRex-2’s architecture, its breakthrough capabilities, and what sets it apart from transformer-based models like Kronos. I ask the questions you’re thinking—about zero-shot forecasting, synthetic data, and real-world benchmarks—so you can understand what matters most for your business. If you’re navigating industrial AI or just curious about the future of time series models, this conversation is packed with the insights you need.
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Über diesen Podcast

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.
Urheberangabe
Robert Weber / Peter Seeberg
Durchschnittliche Länge
Ø 41 Min.
Erscheinungsweise
Wöchentlich
Letzter Check
vor 8 Std.
Zuerst veröffentlicht
vor 7 J.

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