Beyond ChatGPT

Bill Gates produces an occasional interview podcast called Unconfuse Me. I listened to Episode 5 today with AI computer scientist Yejin Choi. 

Few people are better at explaining the science of artificial intelligence than Yejin Choi. She’s a computer science professor at the University of Washington, senior research director at the Allen Institute for AI, and the recipient of a MacArthur Fellowship. I thought her recent TED talk was terrific, and I was thrilled to talk to her about how you train a large language model, why it’s so hard for robots to pick tools out of a box, and why universities must play a key role in the future of AI research.

My takeaway from the conversation was the thought that tools like ChatGPT continue to grow larger. But this makes the science of the query very important. After reviewing some other technologies, Choi posits that what will really progress into useful tools would be reducing the scope. Instead of trying to be all things to all people, what about working on special purpose AI models—say maybe a math tutor.

I thought immediately about my conversations with recently retired Mike Brooks and the ML technology deep within AspenTech. And that is not the only place within process control software where you will find machine learning (ML, which is an AI technology) working for us.

Forget hand-wringing about the future like our journalist friends like to publish. Try thinking making AI useful.

Siemens Joins Green Software Foundation’s Steering Committee

Software engineers have been telling me lately about how to write code that better utilizes compute power in order to reduce software’s energy bill. I find it interesting the ways that seemingly unrelated parts of a system can coordinate for a better whole. This news release showcases Siemens’ commitment to advancing sustainability through Green Software.

  • Siemens recognizes importance of software in order to advance sustainability and aims to invest in sustainability networks like Green Software Foundation
  • Green Software Foundation focuses on developing energy-efficient systems and infrastructure and aims for green software to become new standard for the future 

Siemens is proud to join the Green Software Foundation (GSF) as a new member of its steering committee to help guide the Foundation’s strategic direction. Siemens’ steadfast commitment to resource efficiency and sustainability aligns with the GSF’s mission to build the tools, knowledge and best practices necessary for reducing software’s environmental footprint.

Siemens technology is enabling enterprises and organizations around the world to increase decarbonization, resource efficiency and contribute to the circular economy. The development of this technology and other software is increasingly contributing to the world’s carbon footprint, which underscores the need for global industrial companies like Siemens to invest in sustainability networks such as the GSF. 

The Foundation focuses on evolving software to be energy-efficient and compatible with complex software systems and infrastructure for information and communication technology. Industrial solutions must meet unique requirements beyond those of traditional enterprise IT systems. These solutions must also take into account cloud-to-edge scenarios, installed base and regulatory compliance – all while maintaining the high standards expected for industrial solutions.

“In the pursuit of sustainability, isolation is costly. We share a common belief that collaboration and collective intelligence will drive systemic shifts toward sustainability in tech. Our Siemens Xcelerator vision fully supports this journey towards sustainable, flexible and open SaaS solutions. In addition, as new technologies emerge, we firmly believe that green software will play a key role in the future,” said Peter Körte, Chief Technology Officer and Chief Strategy Officer of Siemens AG.

Siemens joins Accenture, Avanade, BCG X, GitHub, Globant, Intel, Microsoft, NTT Data, Thoughtworks and UBS to demonstrate leadership in building a culture of green software and to chart the Foundation’s course going forward.

“We’re thrilled to expand GSF’s steering committee with Siemens and we’re hopeful that the contributions its engineers and researchers will make will advance green software patterns and tools compatible with intricate, multi-tiered computing systems for broader industry adoption of green software,” shared Asim Hussain, Chairperson and Executive Director of the GSF.

Metaverse Struggles For Industrial Adoption

I’m not a fan of most of these analyst market surveys. This metaverse news from GlobalData seems to have a bit of being out of sync. I do agree with the analyst’s views, but the market forecast does not seem to go along with the analysis.

GlobalData states, “The metaverse, a virtual world where users share experiences and interact in real-time within simulated scenarios, will face an uphill path ahead as limited use cases hamper its adoption. GlobalData’s latest report, “Metaverse – Thematic Intelligence”, reveals that the metaverse struggles from limited knowledge of the theme, unimpressed consumers, the postponement of projects by Big Tech, and concerns with privacy and security.

So when they state that it will be worth $400 billion by 2030, up from $48 billion in 2022, I wonder. A 10x multiple of market growth when it all looks so pessimistic? And, it’s $48 billion now?

Rupantar Guha, Principal Analyst at GlobalData’s Thematic Intelligence team, comments: “The metaverse has struggled to live up to the excessive hype that built up in 2021 and early 2022. The theme has lost its luster due to limited use cases and the limitations of underlying technologies like blockchain, augmented reality (AR), virtual reality (VR), and digital twins. Without improvements in these technologies, the metaverse will continue to disappoint.”

He is spot on. (Although I wonder about the blockchain note.) I barely had published a post on metaverse when all the hype went to GenerativeAI, Large Language Models, and ChatGPT.

Technology companies must develop user interfaces that are easily accessible, synchronize real and virtual environments, and provide safety and comfort during prolonged use. Platform providers must offer a range of content that users want to experience repeatedly. Those that stick to one content type will limit their revenue opportunities in the long run.

Some companies are finding a niche use case with training linking a plant digital twin to visualization.

Guha concludes: “The metaverse hype is primarily focused on consumer use cases, but solutions like data visualization, collaboration, and training will fuel the enterprise metaverse. Despite skepticism around its long-term benefits, focusing on the future of work will boost adoption by large enterprises in the next five years.”

Maybe. The use cases are still pretty niche. We’ll see if someone figures out a way to use these headsets for useful work.

Rockwell Automation and Microsoft Expand Partnership to Leverage Generative AI

My second news item on Generative AI involves Microsoft dancing with Rockwell Automation.  Once again an industrial automation company hopes its software will become more responsive and easier to use with AI. I’d love to know what you all think after trying it.

Rockwell Automation and Microsoft Corp. Announced October 26, 2023 an extension of their longstanding relationship to accelerate industrial automation design and development through generative artificial intelligence (AI). The first outcome of this collaboration will add Microsoft’s Azure OpenAI Service into FactoryTalk Design Studio to deliver industry-first capabilities accelerating time-to-market for their customers building industrial automation systems.

Adding Azure OpenAI Service into FactoryTalk Design Studio helps engineers generate code using natural language prompts, automating routine tasks and improving design efficiency. It will also empower seasoned engineers to accelerate development and mentor newcomers on a learning path more efficiently and effectively. Additionally, it will assist in finding relevant help from vast collections of information to further educate developers. Rockwell and Microsoft see a bright future in extending this integrated technology to solve other challenges, including Quality Management and Improvement, Failure Mode Analysis, and training frontline workers to execute manufacturing processes through chat-based collaboration with experienced human workers as well as Azure OpenAI Service-based chatbots.

Additionally, Rockwell and Microsoft are continuing to explore ways to advance innovation in the industrial metaverse. Both companies are using their respective IoT capabilities, cloud datasets, simulations and AI to design and build products more effectively, more efficiently and more sustainably.

Siemens and Microsoft partner to drive cross-industry AI adoption

Oh, how short-lived was the metaverse hype. Generative AI quickly displaced it with seemingly more staying power. I have made a little use of that technology for research. You really must phrase your questions precisely. There are too many nuances to the meanings of words.

However, I have two pieces of news about Microsoft partnering with its Generative AI with industrial software companies. This one is with Siemens.

In brief:

  • Companies introduce Siemens Industrial Copilot, a generative AI-powered assistant, designed to enhance human-machine collaboration and boost productivity.
  • Companies will work together to build additional copilots for manufacturing, infrastructure, transportation, and healthcare industries.
  • Leading automotive supplier, Schaeffler AG, is an early adopter of Siemens Industrial Copilot.
  • In addition, the Siemens Teamcenter app for Microsoft Teams will be generally available in December 2023 and accelerate innovation across the product lifecycle.

Microsoft and Siemens are deepening their partnership by bringing the benefits of generative AI to industries worldwide. As a first step, the companies are introducing Siemens Industrial Copilot, an AI-powered jointly developed assistant aimed at improving human-machine collaboration in manufacturing. In addition, the launch of the integration between Siemens Teamcenter software for product lifecycle management and Microsoft Teams will further pave the way to enabling the industrial metaverse. It will simplify virtual collaboration of design engineers, frontline workers, and other teams across business functions.

“With this next generation of AI, we have a unique opportunity to accelerate innovation across the entire industrial sector,” said Satya Nadella, Chairman and CEO, Microsoft. “We’re building on our longstanding collaboration with Siemens and bringing together AI advances across the Microsoft Cloud with Siemens’ industrial domain expertise to empower both frontline and knowledge workers with new, AI-powered tools, starting with Siemens Industrial Copilot.”

“Together with Microsoft, our shared vision is to empower customers with the adoption of generative AI,” says Roland Busch, CEO of Siemens AG. “This has the potential to revolutionize the way companies design, develop, manufacture, and operate. Making human-machine collaboration more widely available allows engineers to accelerate code development, increase innovation and tackle skilled labor shortages.”

Siemens Industrial Copilot will allow users to rapidly generate, optimize and debug complex automation code, and significantly shorten simulation times. This will reduce a task that previously took weeks to minutes. The copilot ingests automation and process simulation information from Siemens’ open digital business platform, Siemens Xcelerator, and enhances it with Microsoft’s Azure OpenAI Service. Customers maintain full control over their data, and it is not used to train underlying AI models.

Schaeffler AG, a leading automotive supplier, is among the first in the automotive industry to embrace generative AI in the engineering phase. This helps its engineers to generate reliable code for programming industrial automation systems such as robots. In addition, the company intends to incorporate Siemens Industrial Copilot during their own operations, aiming to significantly reduce downtimes, and also for their clients at a later stage.

Teamcenter for Microsoft Teams will be generally available beginning December 2023.

Honeywell Connect 2023

Honeywell Connect 2023, the user conference of Honeywell Connected Enterprise the software business unit of Honeywell, was held in Dallas this year October 10-12. I had been waiting for some documents from Honeywell and got busy. I’ve written several news stories from Honeywell Connect over the past six months. This Strategic Business Unit of Honeywell has been quite busy.

This event was sort of a 5th anniversary celebration. I’m a slow learner and it took some time before it sunk into my consciousness just what was up with Honeywell Connected Enterprise and Honeywell Forge. Honeywell corporately has five strategic business units. Four are vertical business. Honeywell Connected Enterprise is the software arm that cuts across all the other SBUs plus reaches out in its own right.

CEO Kevin Dehoff referred to Forge as the “premier Industrial IoT Architecture.” At a time when other companies who had touted IIoT were moving to other marketing slogans, HCE proudly discusses IIoT as the connected of the Connected Enterprise. I think they are continuing on the correct track. After all, I named my new website 10 years ago as The Manufacturing Connection because I saw that connecting things (and processes and people and businesses) was where we as an industry needed to go.

Discussion centered on outcomes. I also like that approach. Too many product companies focus on features. Customers are interested in outcomes. 

Everything connected becomes a hacking risk. HCE acquired SCADAfence a few months ago to strengthen an already rich cyber security portfolio. Shortly after the acquisition, the company announced CyberWatch and CyberInsights. Expect to see growing robustness from the cybersecurity portfolio.

No software event can be complete without bowing to Digital Transformation. “Digital Transformation isn’t an event—it’s an ongoing journey.” HCE talks of technology augmenting humans. Another topic here is the potential use of AI as an enabler of autonomous control—another sub theme of the conference.

Some ideas in this vein include AI co-pilots, cyber forensics and recovery, closed loop sustainability.

Digital Transformation as the sum of process, people, technology, and data.

Sustainability continues to be a strong theme. Companies are continuing the trend from manual to automated data collection. Carbon and demand management continue as an important trend. HCE continues to see opportunities with instrumentation for monitoring emissions, as well as, applying process control technologies to mitigate those.

One final thought. The last session I saw was with Vimal Kapur, Honeywell CEO. HCE has been developed to solve customers’ big problems. Doing so, Honeywell is building the largest industrial software company. “Maybe we already have.”

This is interesting because earlier this year I was at the Siemens Digital event where executives extolled the division as the market’s leading industrial software company. The week following AVEVA held its annual conference—a continuation of the OSIsoft PI user conference. Meanwhile, Emerson has been aggressively promoting itself as a software company. Yet, Rockwell Automation had been touting its software for a few years, but it has become the “digital transformation” company for the past year or more.

Where will software take all these companies? Is this where growth lies? Instrumentation and control are stable, but mature markets? I wonder.

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