by Gary Mintchell | Mar 11, 2024 | Workforce
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.
by Gary Mintchell | Mar 8, 2024 | Interoperability, Standards, Technology
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.
by Gary Mintchell | Mar 7, 2024 | Data Management, Manufacturing IT, News, Operations Management
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.
by Gary Mintchell | Mar 6, 2024 | Podcast, Standards
I have published a new podcast thinking about standards and interoperability.
I’ve seen successes of industry standards. I’ve also seen industrial standards struggle to break through the logjam of large companies drive to lock customers into their ecosystem. What is the latest of OPAF and what is the meaning of Schneider Electric’s announcement of a product built with with Red Hat and IBM and development of a new computer communication standard?
I have arranged a special deal with energy drink makers Magic Mind. Listeners can click here and get up to 56% off your subscription for the next 10 days with my code GARYM20. After 10 days, you can still get 20% off for one time purchases and subscriptions. That’s magicmind.com/garym with the code GARYM20.
This podcast is sponsored by Inductive Automation.
by Gary Mintchell | Mar 1, 2024 | Automation, Operator Interface, Standards, Technology
Modern flow control software driver based on FDT/DTM technology extends standardized device management to mobile and OPC UA applications.
Glad to see movement with the latest technology from the FDT Group. It certified the first Device Specific DTM based on FDT 3.0 standard supporting the HART protocol from Flowserve Corp. The newest certified Logix 3820 Series DTM is deployable using their positioners supporting HART 6 / 7, tackling flow control challenges designed for modern IIoT architectures.
FDT DTM certification to the FDT 3.0 specification and webUI is a process whereby rigorous compliance testing using dtmINSPECTOR5 ensures the viability of the states of the DTM; its correct installation, de-installation, and multi-user environment capability; mandatory and optional user interface functionality and robustness; network scanning communication performance and the ability to import and export the topology; and the audit trail capability.
FDT 3.0 DTMs are crucial to unlocking universal device integration with essential advantages such as platform independence, mobility solutions, and a contemporary development environment to reduce costs and expedite the DTM certification process. Users can use secure and seamless data exchange/interrogation from the sensor to the cloud and achieve new levels of information technology (IT) and operational technology (OT) integration.
“This certification is a milestone in market penetration and technology development,” says Steve Biegacki, FDT Group managing director. “Flowserve has always been a leader in flow control using DTM technology and now offers the first flow control management DTM standardized for IIoT architectures based on FDT 3.0 for HART applications. HART users can deploy this new DTM and reap the benefits by using an FDT 3.0-based device management tool, such as PACTware 6.1, and can enjoy an IT/OT data-centric model by deploying an FDT Server, extending the data reach to mobile applications and the enterprise.”
by Gary Mintchell | Mar 1, 2024 | Asset Performance Management, News, Operations Management
Every time I participate in a survey the last page is an invitation to do my own survey. I think every industry marketing person has take them up on the offer. Limble CMMS has released State of Manufacturing and Facilities Maintenance Report, which reveals insights from manufacturing and facility maintenance professionals on the top challenges they face today and what their immediate focus is on. Some of these are no-brainers; but some are interesting.
Some key stats from the report include:
- To embrace a shift toward advanced technologies, 91% of manufacturing professionals said they are shoring up their data collection and analysis capabilities. Machine sensors and IoT technology are important tools for the consistent and accurate data collection needed to leverage advanced technologies.
- More than half (51%) of respondents chose excessive downtime, aging infrastructure or workforce issues (e.g. lack of skilled workers) as one of their top three current challenges
- In addressing downtime issues, 78% of respondents say they are supporting preventive maintenance initiatives
- In addressing workforce challenges, 55% of respondents say they are focusing on recruitment and retention, and 52% are looking to increase pay and benefits for workers.
- Proactive maintenance (72% of respondents) and investing in new equipment (69% of respondents) are the top two ways in which respondents are addressing the issue of aging infrastructure.
- 69% of manufacturing and facility maintenance professionals said they are focused on diversifying suppliers to address challenges within their supply chain.
