Seeq Announces Generative AI Capabilities with Seeq AI Assistant

I sincerely hope you are not tired of reading about generative AI, because that will be the news for the rest of the year as each company introduced it as part of their software solution. This one comes from Seeq.

Seeq unveiled the Seeq AI Assistant, a generative AI (GenAI) resource embedded across its industrial analytics platform. The Seeq AI Assistant provides real-time assistance to users across the enterprise, empowering them to accelerate mastery of the Seeq platform, build advanced analytics, machine learning, and AI skills and knowledge, and accelerate insights to improve decision making in pursuit of operational excellence and sustainability.

The Seeq AI Assistant provides organizations with the opportunity to further de-bottleneck their most precious resource – the people at the frontlines of their processes and decisions.

This paragraph is a bit confusing, but I think realistic. You can try out GenerativeAI and play with it, but as far as trusting—well, you’d better double check results.

GenAI is a type of artificial intelligence capable of generating new content, such as text, images, and code in response to prompts entered by a user. GenAI models are trained with existing data to learn patterns that enable the creation of new content. While GenAI is a powerful technology, it isn’t innately capable of generating information and guidance applicable within the complexity and context of an industrial production environment.

PICMG Announces Release of New InterEdge Standard

  • Targeted at Open, Modular Process Control Systems
  • Modular compute, switch, and I/O architecture enables interoperable standard for industrial PCs, PLCs, and distributed control systems.
  • Supports IEC 61499 and IEC 61131 for compatibility with a wide range of automation systems.
  • Hot-swappable modules can be replaced or upgraded while the system is running, minimizing downtime and maintenance costs.

I am trying to understand this one. Reading it for the third time, I guess the Open Process Automation Forum decided that one of its defined components among its “standard of standards” needed to be a standard. Although this “open, modular process control system” sounds eerily familiar. I hope it does help move the industry forward.

­­PICMG, the consortium for open hardware specifications, announced the release of InterEdge, a modular architecture for process control systems (PCS). The IEC 61499 and IEC 61131-compatible InterEdge specification promises to revolutionize the industry with an interoperable, multi-vendor alternative to proprietary Industrial PCs (IPCs), Programmable Logic Controllers (PLCs), and Distributed Control Systems (DCSs).

Given that the OPAF initiative was begun by ExxonMobil engineering leaders, this quote is informative:

“Business needs evolve at an ever-increasing rate,” said Francisco Garcia, Americas Regional Instrument Lead at ExxonMobil Technology & Engineering Company and member of the InterEdge technical working group. “InterEdge delivers an interchangeable base hardware standard for industrial manufacturers looking to adapt to changing business needs. As a result, providers can deploy and scale dedicated physical assets and focus on value-added software and services.”

And from the press release:

InterEdge defines a vendor-neutral, open standard for edge computing and I/O module hardware. It segments hardware into Compute Modules, Switch Modules, and I/O Modules. All of these modules are connected via a common backplane, enabling easy customization and expansion of industrial automation functions.

An overview of the specification and an architecture diagram are available here. The full specification is available to purchase. 

And the reason for the standard:

By replacing proprietary edge devices, InterEdge eliminates vendor lock-in, simplifies integration and maintenance, and enables online upgrades, all of which contribute to significant cost savings.

Emerson Jumps Into The Software-Defined Automation Architecture Fray

  • Sees Boundless Automation as Industry Inflection Point to Address Data Barriers & Modernize Operations
  • Advanced software-defined automation architecture to integrate intelligent field, edge and cloud, unlocking a new era of productivity
  • Global automation leaders convene to learn about Boundless Automation at Emerson Exchange in Düsseldorf

I seem have become sort of persona non grata by the new marketing regime at Emerson Automation group. However, I picked up this news from it’s meeting last month in Düsseldorf, Germany. I found this statement by automation President and CEO Lal Karsanbhai interesting. It reflects the underlying philosophy I wanted to address when Dave and Jane and I started Automation World back in 2003. The world requires suppliers to go beyond proprietary control and leverage all the data for higher level decision making.

“After decades of implementing evolving automation strategies, manufacturers recognize the need to extract greater value from data that is locked in a rigid and now outdated automation architecture,” said Emerson President and CEO Lal Karsanbhai. “The proliferation of data and the development of advanced software are moving us to an era of unprecedented productivity. Rich data and advanced software are converging to form the next major inflection point in the industry.”

Acknowledging the foundational problems we’ve identified for years, Emerson says it is “poised to transform industrial manufacturing with the next-generation automation architecture designed to break down data silos, liberate data and unleash the power of software with Boundless Automation.”

I applaud Emerson’s strategy, although I do wish it had been done along with the standards efforts of OPAF. But only a couple of competitors seem to be serious about that one. Further, I continue to find companies in my research still trying to break down the silos. I thought we had accomplished that 10 years ago. I guess not. We still have complex networks of Microsoft Excel spreadsheets and every department for itself on data definition and retention.

To address this challenge and help customers achieve their operational improvements, Emerson is introducing a vision and actionable strategy to push more computing power closest to where it’s needed and establish the blueprint for a modern industrial computing environment. This environment includes flexibility to deploy software across the intelligent field; a modern, software-defined edge; and the cloud. All three domains will be connected through a unifying data fabric, helping to maintain data context, improve its usability and increase security.

Emerson’s modern, software-defined automation architecture will break down hierarchical networks, securely democratizing and contextualizing data for both people and the artificial intelligence (AI) engines that depend on a continuous flow of information.

Here are the components within Boundless Automation:

  • Intelligent Field: An intelligent field will simplify access to more data from more sources and a greater diversity of applications. With smarter devices and new connection technologies like 5G and APL, customers can streamline both connectivity from anywhere in the world, and integration across the new architecture
  • Edge: The new OT edge creates a modern, secure, low-latency computing environment, putting new software tools and actionable data closest to its user. This enhanced edge environment establishes a platform for IT and OT colleagues to innovate and collaborate more than ever before.
  • Cloud: The cloud will power complex operations and engineering capabilities on-premise and across the enterprise by providing infinite analytical computing power, enterprise collaboration, attractive lifecycle costs and on-demand support and service.

Advanced Video Skills Training

I first wrote about DeepHow almost a year ago. DeepHow is an AI solution for skilled trades know-how capturing and training. The video platform and capture app empowers organizations to capture their processes on a smart device, upload it into the platform via the cloud, and then leverage AI to segment, transcribe, and translate the video into steps and relevant languages for their multilingual workforce. Workers can access the videos at any time, allowing them to onboard faster and upskill more efficiently with their company’s proprietary processes.

Casandra (Cassie) Franklin, Program Manager Innovation and Training Center at ISAIC in Detroit, used the system and chatted with me recently about actually using the system to train employees in the sewing area. She works at quite an interesting organization. As its website proclaims:

The next big thing in the apparel industry is here. It’s not in Paris. Or New York. Or L.A. It’s right here in Detroit. Offering education, apprenticeships, and opportunity for new careers that look, sound, feel, pay, and are better. With a commitment to re-shoring, workforce development, and sustainability, ISAIC – Industrial Sewing and Innovation Center, will redefine how the future is fashioned.

A Detroit-based 501c3 nonprofit, ISAIC is a national resource for those committed to positive impact through responsible production of high-quality garments and provides solutions centered around people, education, advanced manufacturing and upward mobility for workers. ISAIC’s proprietary training curriculum is being used in multiple states across the country. Its learning and contract manufacturing factory is located in mid-town Detroit, above Carhartt’s flagship store. 

Its mission is defined thus: To redefine the future of work by putting people trained in advanced and emerging manufacturing technologies at the forefront of sustainable soft goods production with a commitment to the wellbeing of our team, partners, community and planet.

Franklin told me that they had tried some training systems. Mostly they were too complicated to maintain. With the DeepHow system, they had an easy workflow for making and using instructional videos. They were easy for their workers to access (QR code to HMI). The workers learned efficiently and effectively.

DeepHow told me: Traditional methods of learning like text-based SOPs can’t be updated efficiently, and the average worker today would rather turn to video to learn new skills. They can watch the expert right on the screen, and emulate that expertise on their own. Creating video content doesn’t have to be hard or require the support of a professional video production team with expensive equipment.

The system looks like this (information from DeepHow):

DeepHow’s Workflow Capturer lets you capture experts’ workflow via video as they perform real tasks. Its native apps (iOS & Android) are designed for multi-language capture and are noise-proof for industrial environments. Not to mention the easy setup and auto uploading management, DeepHow is incredibly user-friendly.

Once videos are captured and uploaded, AI Stephanie, DeepHow’s core technology, takes over. Using Natural Language Processing (NLP), image analysis, and computer vision, AI Stephanie indexes and segments your videos into key workflow steps. She also auto-tags keywords and images, auto-summarizes step names, generates subtitles, and converts them into multiple languages. 

DeepHow’s Workflow Builder lets you create smart how-to videos by integrating video, diagrams, subtitles, and translations. This module enables minor text editing and review, offers annotation and video trimming features, and allows for workflow reviewing, publishing, and sharing. 

Workflow Navigator delivers step-by-step workflow guidance in multiple languages and supports in-video search. Users can interact with AI Stephanie to learn anytime, anywhere, and at their own pace. The adaptive video resolutions ensure that video content is accessible and engaging for all.

DeepHow also boasts a Skills Management module. It empowers supervisors and HR professionals to create, assign, manage, and track skills training. It uses AI to recommend skills and promotes personal development. This means you can efficiently assess skills, certify workers, and have a clear, insightful understanding of your workforce’s capabilities. 

The Analytics component of DeepHow provides a comprehensive enterprise-wide review of video training health, tracks engagement, and pinpoints skill gaps and opportunities for improvement. 

The Open Group Welcomes Shell as Its Latest Platinum Member

I just released a podcast where I thought about standards, interoperability, and open technologies. This news came my way, speaking of open, that Shell Information Technology International has become a platinum member of The Open Group.

Shell has been a Member of The Open Group since 1997, and has contributed to its numerous Forums which enable collaboration to develop open technology standards and certifications. The company played a critical role in the foundation of The Open Group OSDU Forum that facilitates the development of transformational technology for the world’s changing Energy needs, and donated important intellectual property that formed the basis of the OSDU Data Platform. Shell also contributed to the inception of The Open Group Open Footprint Forum that focuses on creating an environmental footprint data model standard applicable to all industries.

The Open Group is a global consortium that enables the achievement of business objectives through technology standards. Its diverse membership of more than 900 organizations includes customers, systems and solutions suppliers, tool vendors, integrators, academics, and consultants across multiple industries.

Glad to see end user companies taking an active part in openness. Their support is the only way open technologies will grow.

Aras PLM Celebrates Growth, Partnerships, New Products at Customer Conference

The first trip I made as a new editor many years ago was to Microsoft to talk with a manufacturing software/PLM developer. PLM being Product Lifecycle Management—that layer of software used to translate CAD into manufacturing. When I covered automation, we didn’t cover this area often. These software companies seldom advertise, so the pressure from sales to cover them was, shall we say, less intense.

Last year I attended three PLM developers either in person or virtually. This year I began receiving more press releases and news from Aras. I told the marketing person that I knew the company but not that well. That led to an invitation to its ACE2024 conference held this week. I learned a ton about Aras and its products and partners as well as seeing two old friends that I never expected to meet there.

Roque (pronounced Rocky) Martin has been CEO for just more than 2 years. Sounds like he’s done well. Aras has been growing lately—61% over 2 years. The company counts 1.7 million registered users. It recently (like many industrial software companies) introduced a Software As A Service (SaaS) product which this year had seen a 77% year-over-year growth.

Setting a context for the event, he discussed three challenges facing the industry:

  • Digitalization (silos, distributed, digital thread, connect, collaboration)
  • Differentiated Innovation (industry didn’t like customization but discovered that one size fits all is not optimum), 
  • Accelerated Change

Discussing the change challenge, he listed this industry timeline:

  • 1.0 Mechanization (120 years)
  • 2.0 Electrification (70 years)
  • 3.0 Automation (30 years)
  • 4.0 Digitalization (10 years)
  • 5.0 Cognitive (coming soon to software near you)

Rob McAveney, CTO, discussed how the coming Cognitive wave including AI will automate away rote tasks humans have done. Or as he put it, AI + Cognitive systems—leverage to describe what is possible and zoom in on potential solutions. He sees the coming 5.0 software leveraging all the data we’ve accumulated from 4.0 for breakthroughs. Some things to watch for in the Cognitive + AI systems:

  • AI as an assistant
  • Syndicate digital twins
  • Connect system of systems
  • Able to become increasingly able to suggest more complex solutions

Two interesting pieces of news follows. The first are enhancements to its PLM Platform. You sort of have to see the demos to realize how cool these things are. (Oh, if only I would have had tools like this back in my product development days!) The second announcement relates to a partnership with SAIC. Once again viewing the demos shows the power of this integration. I sat in the breakout presentation to get a dive—but I could never do it justice. If you’re in this area of work, check it out.

Aras Announces Strategic Enhancements to PLM Platform

Expands Digital Thread, Low-Code, and Visualization Capabilities and Adds New Supplier Management Applications

New Digital Thread Capabilities

Aras Innovator forms an extensible digital thread, serving as a data backbone for digital engineering and the broader digital enterprise. New capabilities will support simplified user interactions for viewing, editing, and implementing changes on interrelated items. In addition, a new streamlined experience for configuring connections to a comprehensive range of authoring tools simplifies extending the digital thread to a broader set of enterprise applications.

Extended Low-Code Development Enhancements

Aras Innovator is the only PLM platform with a fully integrated low-code development environment. Leveraging a rich set of development and enterprise-class DevOps services, Aras subscribers can extend applications or develop their own to address the unique needs of their organization. These enhancements introduce new widgets and charts that simplify the user experience and navigation for analytics dashboards and reports embedded in Aras apps. In addition, advanced form design tools facilitate a more streamlined, modern user experience for applications built within Aras-powered applications and deployed within Aras’ DevOps framework.

Powerful Visualization of Complex Assemblies 

Aras’ CAD-agnostic approach to 3D visualization has been built on the foundation of the digital thread, enabling users to leverage Dynamic Product Navigation to facilitate the exploration of product data in any representation. The introduction of Aras Advanced 3D enhances this capability, providing a scalable environment to visualize and interact with larger, more complex assemblies that often exceed the capacity of a single CAD session.

Optimized Connectivity and Collaboration with Suppliers

Aras is introducing a suite of supplier management solutions designed to enhance how organizations interact with their suppliers and business partners. These new applications facilitate secure, remote access to controlled subsets of digital thread and PLM information through configurable mobile-optimized web applications. These solutions streamline communication and data sharing to optimize supplier management business processes. Projected availability for Aras Supplier Management Solutions is in Q2 2024, with a preview webinar scheduled for March 26.

SAIC Powers Its ReadyOne Digital Engineering Ecosystem Solution with Aras

Aras, a leader in product lifecycle management and digital thread solutions, today announced a strategic partnership with leading technology integrator SAIC (Science Applications International Corp.) that includes integration of Aras Innovator as the digital thread backbone for its digital engineering solution, ReadyOne.

ReadyOne is SAIC’s rapidly deployable digital engineering ecosystem, which offers customers an end-to-end digital thread for consistent, traceable, and complete engineering solutions. By using Aras’ product lifecycle management (PLM) technology as its foundation, the solution creates a single-source-of-truth for users, letting them access any and all needed information, at any point in the engineering process, all from a common platform. With ReadyOne, collaboration and transparency are increased, while risks and costs are decreased.

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