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NVIDIA AI Podcast

How Siemens Is Bringing AI to Factory Floors - Ep. 257

37 min episode · 2 min read
·
Matthias Loeschl

Episode

37 min

Read time

2 min

Topics

Relationships, Startups, Fundraising & VC

AI-Generated Summary

Key Takeaways

  • InSpecto Quality Inspection: Out-of-box AI system trains on 20 good product samples in under one hour, requires no computer vision expertise, and enables operators to independently configure visual defect detection across metal, plastic, and electronics manufacturing without data scientists.
  • Scaling Challenge Solution: Siemens Industrial AI Suite closes the complete MLOps cycle from cloud training to shop floor deployment, achieving 25-fold acceleration in AI execution for Audi's automated weld spot inspection across 5 million daily welds using NVIDIA L4 GPUs in industrial PCs.
  • On-Premise Copilots: Industrial copilots run locally on shop floor using NVIDIA NIM microservices to address security concerns, enabling operators to query real-time production data and maintenance documents without sending sensitive factory data to cloud environments for faster decision-making.
  • AI Adoption Barriers: Studies show 40% of manufacturers distrust AI, 92% lack skilled experts, and only 16% achieve AI goals because companies build from scratch instead of using standardized infrastructure, causing most projects to fail at proof-of-concept stage without production rollout.

What It Covers

Matthias Loeschl from Siemens Factory Automation explains how the Siemens-NVIDIA partnership brings AI solutions to manufacturing floors, addressing the 92% AI skills gap and 70-80% project failure rates through democratized tools and standardized infrastructure.

Key Questions Answered

  • InSpecto Quality Inspection: Out-of-box AI system trains on 20 good product samples in under one hour, requires no computer vision expertise, and enables operators to independently configure visual defect detection across metal, plastic, and electronics manufacturing without data scientists.
  • Scaling Challenge Solution: Siemens Industrial AI Suite closes the complete MLOps cycle from cloud training to shop floor deployment, achieving 25-fold acceleration in AI execution for Audi's automated weld spot inspection across 5 million daily welds using NVIDIA L4 GPUs in industrial PCs.
  • On-Premise Copilots: Industrial copilots run locally on shop floor using NVIDIA NIM microservices to address security concerns, enabling operators to query real-time production data and maintenance documents without sending sensitive factory data to cloud environments for faster decision-making.
  • AI Adoption Barriers: Studies show 40% of manufacturers distrust AI, 92% lack skilled experts, and only 16% achieve AI goals because companies build from scratch instead of using standardized infrastructure, causing most projects to fail at proof-of-concept stage without production rollout.

Notable Moment

Siemens demonstrates robots using foundational models to grasp arbitrary unseen objects for warehouse picking, eliminating the need to pre-program handling for each item shape, though simulation-to-reality gaps still require real-world data for fine-tuning before deployment.

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Episode Transcript

Hello, and welcome to the NVIDIA AI podcast. I'm your host, Noah Kravitz. Before we get started, a quick update on the podcast. If you're a regular listener, you might have noticed we're publishing more. The AI podcast is now four times a month, and we're also now hosted on Spotify. You can still get the podcast wherever you've been getting it, but we are now hosting with Spotify and wanted to mention that. So please, whether you listen on Spotify, Apple Podcasts, anywhere else, take a moment to subscribe, leave a review if you're so inclined. We appreciate it. Also, we have a new homepage. The podcast, if you wanna go through all the past episodes, pick out the ones you're interested in, scan by topic, a i-podcast.nvidia.com is the new home for the podcast on NVIDIA's domain, ai-podcast.nvidia.com. With that being said, let's get to today's episode. For several years now, NVIDIA has been partnering with Siemens, the Germany based global leader in industrial automation, to unlock industrial digitization. Here to talk about the partnership and the role of AI on the shop floor is Matthias Loeschl. Matthias is the head of virtual control and industrial AI at Siemens Factory Automation, where he's driving innovation and integrating cutting edge AI solutions into industrial applications. Matthias, welcome, and thank you so much for joining the AI podcast. Thanks for having me. Excited to be part of this podcast. Excited to have you. So if you would, could you start by telling us a little bit about your role at Siemens? Yeah. So maybe I have one of the most exciting jobs at Siemens, I would say. So, I oversee software business in the areas of industrial AI and also virtual controls with about virtualization of our POCs. So controlling the factories, these are really, like, the brains of the factories out there around the world, and really ramping up a software business based on these new technologies coming from virtualization and AI, bringing those to the to the customers, bringing those technologies to the shop room. And for people who maybe aren't so familiar with Siemens or or perhaps recognize the name but aren't, privy to to all of what Siemens does, maybe could you give a brief rundown of what Siemens does? Yeah. So Siemens is a technology company, leading in industry and industrial automation and digitalization. That's the part of Siemens where I come from. But, also, we are in the areas of, infrastructure and mobility, for example. So if you if you try to train in Germany, for example, it might be built by Siemens. We also built, smart buildings and infrastructures in data centers and so on. So really, across the different sectors, we see a lot of products from from Siemens today. Right. So you have a great sort of overview, when it comes to what's happening with AI, other advanced technologies, sort of generally around manufacturing and industry in Germany and and throughout …

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Books, tools, and gear mentioned in this episode

SignalCast may earn commission on purchases via these links. As an Amazon Associate, SignalCast earns from qualifying purchases.

Tools

  • by Siemens

    Siemens Industrial AI Suite closes the complete MLOps cycle from cloud training to shop floor deployment, achieving 25-fold acceleration in AI execution for Audi's automated weld spot inspection across 5 million daily welds using NVIDIA L4 GPUs in industrial PCs.
  • by NVIDIA

    Industrial copilots run locally on shop floor using NVIDIA NIM microservices to address security concerns, enabling operators to query real-time production data and maintenance documents without sending sensitive factory data to cloud environments.
  • by Siemens

    InSpecto Quality Inspection: Out-of-box AI system trains on 20 good product samples in under one hour, requires no computer vision expertise, and enables operators to independently configure visual defect detection across metal, plastic, and electronics manufacturing without data scientists.

Gear

  • by NVIDIA

    achieving 25-fold acceleration in AI execution for Audi's automated weld spot inspection across 5 million daily welds using NVIDIA L4 GPUs in industrial PCs.

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