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More Links

https://modelcontextprotocol.io/specification/2025-06-18

In this episode, I sit down with Armin Hadzalic to tackle the burning question: will the Model Context Protocol (MCP) truly transform industrial AI? We dive deep into how MCP connects large language models and agents to real-world data, what makes it different from protocols like OPC UA and MQTT, and why the biggest players in tech are rallying behind it. Armin shares practical examples, addresses skeptics, and explains what MCP means for engineers, technicians, and anyone working in industrial automation. If you're curious about the rise of agents, the future of dashboards, and what it takes to stay ahead in the evolving world of industrial AI, you won't want to miss this conversation. Join me as we explore where MCP is headed and what it could mean for your job and your factory.

https://www.siemens.com/global/en.html

https://github.com/anthropics/mcp

https://www.anthropic.com/

https://opcfoundation.org/about/opc-technologies/opc-ua/

https://mqtt.org/

https://en.wikipedia.org/wiki/Largelanguagemodel

https://aws.amazon.com/

https://www.microsoft.com/

https://www.google.com/

https://openai.com/

https://github.com/agent-protocol/agent-protocol

https://github.com/agent-protocol/agent-network-protocol

https://github.com/anthropics/a2a

https://github.com/google/ap-ii

https://www.viad.com/

https://www.viad.com/insights/living-factories-driven-by-agents/

https://www.bmwgroup.com/en/company/production.html

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We thank our partner SIEMENS

In this episode, we dive into the evolving landscape of industrial AI, starting with a lively Oktoberfest recap before shifting gears to the latest breakthroughs in physics-informed neural networks and user interfaces. We discuss the real-world impact of Europe's AI Act, featuring insights from industry leaders and an in-depth interview with Sampo Lino of MinnaLearn on building AI literacy for enterprises. As we unpack strategic investments, robotics trends, and the challenges of compliance, we question what it means to use AI safely and competitively. Throughout the conversation, we keep it grounded in everyday experience—how regulation, technology, and practical learning are shaping the factories and workplaces of tomorrow. Tune in to hear how we’re navigating this complex, fast-moving frontier and what it means for anyone working with AI today.

https://www.deepmind.com/

https://en.wikipedia.org/wiki/Ray_Kurzweil

https://www.nature.com/articles/s42254-021-00314-5

https://people.epfl.ch/olga.fink

https://www.epfl.ch/en/

https://github.com/modelcontext/protocol

https://new.abb.com/products/robotics

https://landing.ai/

https://www.andrewng.org/

https://www.bmw.com/en/innovation/bmw-neue-klasse.html

https://www.asml.com/

https://www.nvidia.com/

https://www.intel.com/

https://www.amd.com/

https://www.elementsofai.com/

https://www.minnalearn.com/

https://artificialintelligenceact.eu/

https://gdpr.eu/

In this episode, I sit down with Jens Stapelfeldt, Global AI Lead at AMD's University Program, to explore how AMD is challenging the status quo in AI hardware. We dive into the evolution from proprietary ecosystems to AMD's open, enterprise-ready platforms, discussing what this means for industrial AI applications and decision makers. Jens shares insights on AMD’s broad AI portfolio, from GPUs to edge solutions, and how strategic collaborations are accelerating innovation. We also examine the significance of open-source principles and the impact of diverse hardware options on industrial use cases. Join me as we uncover why AMD positions itself as the most versatile player in the AI space, from edge devices all the way to the cloud.

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We thank our partner SIEMENS

https://www.amd.com/en/technologies/artificial-intelligence

https://www.xilinx.com/applications/artificial-intelligence.html

https://en.wikipedia.org/wiki/Field-programmablegatearray

https://developer.nvidia.com/cuda-zone

https://rocm.docs.amd.com/en/latest/

https://pytorch.org/

https://vllm.ai/

https://www.lamini.ai/

https://silo.ai/

https://ai.facebook.com/

https://www.microsoft.com/en-us/ai

https://www.oracle.com/artificial-intelligence/

https://www.amd.com/en/products/ryzen-ai

https://www.amd.com/en/products/instinct-accelerators

https://www.xilinx.com/products/silicon-devices/fpga/virtex.html

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We thank our partner SIEMENS

The Course Robert mentioned https://jmtomczak.github.io/crash-course-diffusion/

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We thank our partner SIEMENS

Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

We thank our partner SIEMENS

Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

We thank our partner SIEMENS

Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

We thank our partner SIEMENS

Apple paper

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We thank our partner SIEMENS

Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

We thank our partner SIEMENS