Select Page

Podcast 277—An Integrator’s View of Applying AI

Nothing in industrial technology news annoys me more than the hype around artificial intelligence—AI. I recorded this podcast on the eve of the Automate trade show and conference in June 2026.

Looking to for realistic use of Industrial AI, I’m bringing in an interview with a practitioner. Bryan DeBois is Director of Industrial AI at RoviSys, one of the largest independent system integrators. He has 20 years in MES, historians, and plant floor software. He leads teams that operationalize AI and data infrastructure in live plants, working with the C suite and ops to turn goals into running systems.

We look at definitions of AI. Then turn to the technology development from when RoviSys developed its AI practice in 2019 pre-LLMs. RoviSys took autonomous AI beyond predictive applications. Hiring deep manufacturing expertise, they can use AI to assist the human in the loop to make constrained decisions. DeBois discusses real-world applications. He then leads us through the beginning of a project.

Watch on YouTube.

Listen on your favorite podcast app or on my Website.

AI, God, and the Pope

Secularism, scientism, rationalist Richard Dawkins wants to end any influence of “religion.” In doing so, he actually tries to start a new religion. This new secular religion most likely began with French philosopher and mathematician René Descartes. The coterie of Silicon Valley Generative AI leaders follow those unfortunate footsteps.

Pope Leo XIV unhesitatingly issued a 42,000-word encyclical, ”Magnifica Humanitas,” in response to the challenges of artificial intelligence.

Cultural technology critic and professor of computer science Cal Newport wrote, “Last week, Pope Leo XIV released  I’m still digesting the full document, but early summaries indicate that the Pope is not ready to meekly acquiesce to the AI future that we’ve been told is inevitable.”

Leo wrote, “With the heart of a shepherd and a father, I ask everyone to abandon the construction of yet another Tower of Babel and to join forces in building up the common good, so that humanity will never lose its beauty, and the world once again will come to recognize the human heart as the place where God desires to dwell.”

I’ve been involved with automation for more than 40 years. Its value has always been as a tool to remove humans from dangerous jobs, enhance consistent quality, and eventually providing necessary data to feed business systems. They are best when used to build up the common good.

I wrote a longer philosophical piece last week on the subject. I continue to caution us not to be distracted by the hype. Do not become distracted or distraught by momentary whims in media or by “influencers.”

Just as I wrote on another blog last week about how I’d love to see a huge outbreak of humility amongst us.

Is there some hope in the discourse? Newport concludes his essay this way.

“Thankfully, in recent weeks, there has been a marked shift in how technology executives talk about AI. Nvidia CEO Jensen Huang called BS on executives claiming they’re laying people off due to AI, calling the excuse ‘lazy’ and ‘just a way for them to sound smart.’ Perhaps even more surprising, just last week, Sam Altman admitted he had been ‘pretty wrong’ about his previous predictions that AI would automate large numbers of jobs.”

AI as God?

I’ve spent too many hours on AI. I notice statistics indicating that more people are interested in data interoperability than in AI. But this is timely. I thought I’d share this item from John Ellis News Items. It’s one of my favorite sources for a quick update on the news.

You may or may not realize that much of the media shouts from Silicon Valley are really religious in nature. Many out there subscribe to a “scientism.” Shunning traditional religion, they espouse radical rationalism fashioning a religion from reason and science.

First, no less a person than the Pope takes on the Silicone Valley religion head on.

When Pope Leo XIV presented a 42,300-word open letter to the world’s 1.4 billion Catholics on Monday, calling for protections against the rise of artificial intelligence, he was joined by Christopher Olah, a co-founder of Anthropic, which is one of the tech industry’s leading A.I. companies.

As Leo urged corporate executives, government regulators and other citizens of the world to safeguard humanity from the dangers of A.I., he included Mr. Olah as a symbol of the dialogue he hopes to foster between the leaders of the spiritual and technological worlds.

Was this really a discussion?

But for Jeremy Nixon, Monday’s gathering at the Vatican showed that those two worlds are far from aligned. While the pope said that A.I. was fundamentally not human, Mr. Nixon, a well-connected figure in the Bay Area’s frenetic A.I. scene, argued that Mr. Olah’s remarks seemed to hint at the opposite.

“They are not in dialogue,” Mr. Nixon said during an interview at A.G.I. House, a San Francisco “hacker house” with deep ties to many of the people who helped create the A.I. technologies discussed in the pope’s encyclical. “Their perspectives are distinct.”

Ah, the news reports drag in another philosophy—humanism.

The difference between the humanist’s view of A.I.’s risks and the technologist’s dream of what it could become is something that has long been discussed in Mr. Nixon’s community. “It is the reason the community exists,” Mr. Nixon said. “It is its underlying purpose.”

I listen to a podcast called Robot or Not, where podcaster and engineer John Siracusa answers listeners’ questions on definitions. In this case, looks like the question is “AI, Human or Not.”

Mr. Nixon, 33, is one of the founders of A.G.I. House, which is named for Silicon Valley’s headlong pursuit of “artificial general intelligence,” a hypothetical machine that can do anything the human brain can do.

Mr. Nixon said the papal encyclical might mean something to the world’s Catholics, but he doubted that it would have an effect on Silicon Valley. The only reason that Silicon Valley even paid attention to the event, he said, was that Leo invited Mr. Olah to speak.

Mr. Nixon is now founder and chief executive of a start-up called the Infinity Artificial Intelligence Institute, which is trying to automate the creation of A.I.

Even more grandiose that Human or Not, is it God or Not?

Mr. Nixon said he has met a generation of scientists who shunned traditional religion in favor of technology. After growing up with books like “The God Delusion” — in which the evolutionary biologist Richard Dawkins painted God as a false belief contradicted by empirical evidence — he and his peers saw A.I. as an alternative that was more real and far more powerful.

A.I. has started to crack math problems that humans struggled with for decades, he said, and it will soon cure diseases in the same way. “Practically speaking, it will achieve the outcomes that many religions claim their deities would be able to achieve,” he said.

This is an increasingly common belief among researchers in Silicon Valley. They insist they are on their way to building a more powerful species — or even a new God.

As a contemplative, my view of God comes from practice and experience, rather than logical argument. If you are on the rational argument side of things, go for it!

Aras PLM and Agentic AI

I devoted three days in April to attend the Aras Community Event (ACE 2026) in Miami, FL. Even though I am not a specialized market analyst in that market, I’ve been involved with the application of product lifecycle management ever since I was “The Kid in Engineering” at a manufacturing company back when, well, I was just a bit older than a “kid.”

Our company (another company that designed and built automated assembly equipment) transitioned to computer-aided design (CAD) while I was in management. Later, I became involved with AutoCAD. 

So, there are memories of the great advances in the technology and capabilities.

My first summary of my three days with the Aras community in Miami was recorded on my podcast and YouTube channels. As I wrote at the time, “These PLM events always return me to the time when I did this sort of work–manually. Then my first taste of computers digitizing the bill of materials as a first step in our data management journey.”

Aras product managers showed how LLMs trained on the data within the app along with proper governance worked with agents to perform a number of tasks. Tasks in many cases that would require days of pain-staking work from a human.

While I heard from an analyst in the market that they thought this was all painfully slow, I’d offer the thought that a company does not want to outpace its customers. Most will not want to jump into the deep end immediately.

Chatting with CTO Rob McAveney, I heard how the company is taking a balanced approach to introducing these new technologies assuring that they are bringing their customer base along laying out the progression of “agentification of PLM.” The vision includes turning Aras Innovator into an “enterprise nervous system.”

The pressure of digitalization and the so-called digital transformation of companies drives these developers and suppliers into trying to find solutions to the immense data problems they face. Aras’ core technology lies in the digital thread, a topic often referred to.

Ironically, my discussions with Aras and some customers and prospects during the conference revealed an unhealthy fact that I’ve often heard in another software application market—MES. It seems that few users use the full complement of solutions offered by the vendors. This means that what could be a mature market is actually open for new solutions—meaning an innovative upstart like Aras has opportunity for market growth.

I researched the market using my favorite search engine—Claude.ai. The global PLM & Engineering software market reached $31.1 billion in 2024, growing 9.7% year-over-year, and is projected to hit $41.6 billion by 2029 at a ~6% CAGR. The top 10 vendors account for roughly 85% of the total market.

The leading suppliers include Siemens Digital Industries, Dassault Systèms, PTC, and Autodesk.  Analysts report Aras Innovator is built for adaptability, offering a platform designed to evolve quickly with a low-code development environment and strong Digital Thread capabilities.

The four key development points for Aras agentic AI and LLMs, which were repeated often are:

  • Trust
  • Governance
  • Observability
  • Explainability

Shortly following the Aras event, I attended virtually the Siemens press conference from Hannover Fair.

Further research between the two revealed these thoughts from a variety of analysts.

Siemens Teamcenter Copilot is powerful but bounded. Siemens’ approach includes Teamcenter Copilot and AI Chat for natural language queries, RapidMiner for spotting quality issues, and AI extraction of procedures from static PDFs. Siemens describes it as “training AI in the language of engineering and manufacturing” — embedding domain-specific intelligence aligned with physics, lifecycle context, and operational constraints. 

However, what Siemens is doing is focused, practical, and grounded in helping users navigate data Siemens already manages well. The copilots do not attempt to extend beyond Teamcenter — they do not ingest data from other PLM tools or external systems that influence product decisions, and the improvements remain confined to the boundaries of one platform. 

Aras’s approach is architecturally more open. InnovatorEdge is designed so that product data, processes, and digital thread remain governed inside the core platform, while Edge services make them consumable everywhere else — enabling agents to link data across PLM, ERP, IoT, and documents. 

One independent analyst commentary summarized the broader landscape bluntly: all four major PLM vendors — Siemens, Dassault, PTC, and Aras — are adding AI inside their products, but none of them are rethinking PLM architecture for an agent-native future. They are embedding assistants inside old systems rather than redesigning systems around the needs of agents. That said, Aras’s open, low-code, API-first architecture puts it structurally closer to an agent-ready foundation than Siemens’s more monolithic platform. 

ACE attendees noted that while AI’s transformative potential was clear, discussions also centered on the need for human oversight, data governance, and addressing concerns about traceability and the dynamic nature of LLMs — suggesting customers are excited but appropriately cautious about full autonomy. 

GE Appliances and Gemini

The world of AI and Agents seemingly focuses on OpenAI and Anthropic thanks to their leaders’ bold dystopian statements. There are others—even ones who have application in manufacturing.

Google sent me a rare piece of news from it’s recent annual user conference, Google Cloud Next ’26, held in Las Vegas. Not to be outdone, Google has Gemini. During the conference GE Appliances announced it is using Gemini Enterprise to deploy over 800 AI agents across its manufacturing, logistics, and supply chain operations,  putting AI into the hands of the people closest to the work.

OK, I just attended a conference where two active agents were demonstrated with several more on the way. Somehow 800 seems like more than can be managed. But, that’s what they say.

I may not have heard much about GE Appliances since my company built a helium mass spectroscopy testing machine for their “factory of the future” in 1985.

I keep telling people that I don’t want theory. Actual applications, no matter how small, are more interesting to me. Here are three examples provided by Google and GE Appliances:

  • Manufacturing: GE Appliances embedded Gemini Enterprise into its Brilliant Factory manufacturing data platform, which has enabled agents to analyze shift data in minutes rather than hours, allow employees to talk to production data to diagnose issues quickly, and provide live view of line yields and equipment health to reduce downtime. 
  • Logistics: GE Appliances used Gemini Enterprise to build its Quality Insights AI tool for AI-assisted analysis which has yielded measurable results, uncovering millions of dollars in improvement opportunities across customer logistics and internal operations.
  • Supply Chain: GE Appliances introduced a Supplier Collaboration Agent to manage communication with more than 600 suppliers. This agent automated order status inquiries, leading to a 25% reduction in backorders and allowing the team to focus on high-value strategic growth.

Siemens Industrial Edge Ecosystem Strengthens Data and AI Integration

Immediately following my trip to a software conference featuring AI solutions, I attended an online press conference from Siemens at Hannover Fair. I’ve attended it in person several times over the years. This year Siemens held the press conference (with fewer than usual journalists) at their stand instead of a great hall that featured dinner following. 

Siemens featured AI and agents introducing us to Eigen. They are tied to Microsoft Copilot for their solutions. I was more impressed by the Aras deep dives into governance than Siemens’ ignoring of that topic.

There were many announcements.

Industrial AI Suite and WinCC Unified now with general availability

  • Enhanced cybersecurity: IEC 62443-4-2-certified security functions and air-gapped operation for critical infrastructures
  • Industrial Information Hub with bidirectional data flow and ARM support for flexible, decentralized applications
  • Growing partner ecosystem: New partner solutions for machine vision, quality inspection and robust industrial hardware

The Industrial AI Suite, based on Industrial Edge, is now generally available. It simplifies the entire AI lifecycle and enables embedding industrial AI via a complete infrastructure, easily scaling AI models and managing them across locations. The Industrial AI Suite supports a wide range of AI-based applications such as predictive maintenance and visual inspection to reduce downtime and sustainably increase production quality. In the latest version, the Industrial AI Suite also enables significantly more effective AI model retraining by allowing customers to combine image data with production data from MES systems or controllers. 

Industrial Edge Management version 2.0 combines a redesigned, more user friendly and efficient user interface with enhanced data management and security for distributed infrastructures. At the same time, the platform now supports additional hypervisors such as OpenShift and Hyper-V, enabling Siemens Industrial Edge to be operated flexibly on existing IT infrastructures. Siemens thus bridges the requirements of both the IT and OT worlds.

 IEC 62443-4-2-certified security functions for critical infrastructures, including air-gapped operation in which systems are physically isolated from external networks, are targeted for release in the second half of 2026 and are expected to provide enhanced cybersecurity. The high security and data management capabilities have been independently confirmed. Testing institute UL Solutions has awarded Siemens Industrial Edge and the virtual PLC the “Smart Systems Verified – Platinum” certification, evaluating six key categories: connectivity and interoperability, control and automation, digital experience, functional value, resilience, and cybersecurity.

The Industrial Information Hub has been fundamentally expanded. The data management solution enables bidirectional data flow: data models can now be synchronized in parallel between edge devices and central IT systems in both directions. This opens up new IT/OT integration scenarios. In addition, the new version of the Industrial Information Hub is available on ARM-based devices such as the SIMATIC IOT2050, which can, for example, be operated on battery power, with LTE-based wireless networking planned for a future release. Thanks to energy-efficient operation, this also means edge applications can be implemented at locations without permanent power supply. These innovations are particularly relevant for decentralized SCADA applications in logistics, water and waste management, or for renewable energy.

New partner solutions are also expanding the Industrial Edge ecosystem. Together with 36Zero Vision, MVTec and Basler, solutions are being developed in the areas of machine vision and quality inspection. From AI-driven defect detection and no-code image processing to modularly deployable image processing and analysis functions, companies can integrate machine vision use cases into manufacturing in a scalable manner.

Eigen

Siemens brings AI to the physical world with Eigen Engineering Agent

  • New class of industrial AI product moves beyond AI-powered guidance to autonomous task completion
  • Now commercially available, Eigen Engineering Agent delivers up to 50 percent efficiency gains in automation engineering tasks
  • Latest milestone in Siemens’ announced €1 billion industrial AI investment advances company’s AI-centric growth strategy

The Eigen Engineering Agent is production-ready and available to the more than 600,000 users of Siemens’ Totally Integrated Automation Engineering platform, TIA Portal. It is part of the Siemens Xcelerator portfolio and is digitally available now. 

The Eigen Engineering Agent takes its name from the German word “eigen.” While the word translates to “one’s own,” engineers know it best through concepts like “eigenvalues,” which are properties that remain constant even as everything around them transforms. As the AI landscape transforms rapidly and physical AI matures, the Eigen Engineering Agent is designed to be that constant: a steady source of intelligence, rooted in Siemens’ industrial heritage and capable of carrying out real work. 

Follow this blog

Get a weekly email of all new posts.