by Gary Mintchell | May 17, 2024 | Automation, Cloud, Data Management, Embedded Control, Manufacturing IT, Networking
While at Automate 2024 I saw Travis Cox of Inductive Automation and Benson Hougland of Opto 22. It was tough seeing them since their booth was always packed. I wound up walking through the show and out into the corridor with them.
These two companies plus Cirrus Link (MQTT and Sparkplug) are perhaps the best partnership combination I’ve seen in my years reporting in this market. Ignition running on Opto’s Groov Epic platform with MQTT and Sparkplug as the communications architecture solve many customer problems.
Hougland told me that they are continuing to build out the Groov platform. And to watch for cool things coming.
Cox told me that the big thing to pay attention to right now from Inductive Automation is the integration with Snowflake (more below). He says the integration keeps improving.
Here is Cox describing the integration at the last Ignition Community Conference:
And well, we got all the community to participate, where they’re basically leveraging Ignition or Ignition Edge or potentially have a smart device that speaks MQTT Sparkplug and they’re gonna build a data model, publish that up to a Chariot broker that’s in the cloud. Real simple. Then we can use the IoT bridge for Snowflake by Cirrus Link and all that data from Sparkplug goes directly into the Snowflake database. We’re showing it on a dashboard within Ignition, but it’s going to Snowflake database as well. And we can easily go and query that data. And we went one step further and we’re actually showing the anomaly detection within the Data Dash. So we’ll do a demonstration of this in just a moment, but wanna show you just how easy it is for this solution. And it’s all something we could do right now. It’s very, very simple to get started with this whole thing.
What is Snowflake, you may ask. Here is Pugal Janakiraman from Snowflake speaking at ICC 2024:
Snowflake is a globally connected cloud vendor agnostic data platform. It’s one single managed service from Snowflake. We take care of security, we take care of governance, we take care of scalability. And after that, much more cool, your API of choice is still SQL. You don’t have to learn hundreds of new services. You continue to use SQL as a mechanism to leverage data which is present in Snowflake, whether it is around building dashboards or you want to build an AI and ML model or build inference around those models, you still use SQL as an API for doing that.
Snowflake is a cloud-native database. Data can still reside on-premise or it can reside in whatever is your cloud vendor of choice. You can run analytics without the data movement out there. So we provide that kind of collaboration mechanisms. We provide AI and ML-based analytics. This is how the journey started for us. Ignition on Edge with zero coding using Snowpipe Streaming API, send the data to Snowflake.
by Gary Mintchell | May 13, 2024 | Business, Cloud, Data Management, Generative AI, Manufacturing IT, News
Partnering with Microsoft continues to be an important part of manufacturing software development. This news is from Hexagon partnering with Microsoft to integrate engineering with Microsoft 365 to foster data collaboration among engineers. There’s a lot of marketing overkill in the release, but the essence is they hope to improve innovation through engineers and designers using improved collaboration tools.
- Hexagon has contributed significantly to the open-source Fluid Framework data architecture that connects any manufacturing system and will integrate with Microsoft 365 creating agile, simplified workflows and productive collaboration using engineering and productivity software
- Hexagon will roll-out applications that integrate the Microsoft Azure OpenAI Service to empower experienced employees to be more productive and assist less skilled users
- These innovations form a significant foundation for new real-time co-engineering applications that combine Hexagon’s digital twin technologies with Microsoft Azure
Hexagon and Microsoft have partnered closely on the development and scaling of the open-source Fluid Framework and Azure Fluid Relay service to support the real-time sharing of data across a wide range of manufacturing industry processes and systems, allowing data created in one system to be immediately available to any other person or machine operating in another. Under the new partnership, the Microsoft 365 ecosystem will plug into this data layer, enabling customers to connect their day-to-day office documents and processes with manufacturing tools. This gives teams the freedom to innovate with the tools they already use; for example, tooling cost data from a Microsoft Excel worksheet could be easily shared with a CAM programmer, so simplifying work practices and decision-making between roles.
Microsoft Teams calls can become interactive working sessions, with CAD, simulations or metrology point clouds seamlessly visualised from the source data to allow on-the-spot collaboration and fast, iterative teamwork across disparate engineering and manufacturing functions. Hexagon has already demonstrated this capability in its 3D Whiteboard Nexus tool, which is also now available as an native app in Teams.
Hexagon is working with Microsoft to integrate generative AI models into its manufacturing software, helping users to make better use of their capabilities and analysing existing datasets to learn and suggest the best practices for achieving desired outputs. These AI experiences include contextual advisors, offering expert users productivity-boosting automation while also helping new users to upskill faster and achieve good results with less supervision – a valuable tool as the industry faces a growing skills shortage in many essential roles.
by Gary Mintchell | May 3, 2024 | Data Management, Operations Management
This news must be the third “revolutionizing” release of the week. Every marketer rushes to publicize that their product uses AI. It probably has for a few years, but it is the necessary marketing term of 2024. Aionic Digital’s businesses encompass AI in technology consulting and systems integration for data management, systems integrations, customer engagement, and eCommerce. I’m sure there must be manufacturing and production in there somewhere.
The company has announced release of Synapse, an AI-powered accelerator designed to address and overcome the challenges of systems integrations. Synapse contains proprietary knowledge-base and AI analyzer.
The ideal customer profile for Synapse includes forward-thinking, mid-sized to large corporations intent on maintaining a cutting edge in the competitive landscape. Its AI-driven systems integrations and universal connector capabilities are perfect for all companies that wish to avoid vendor lock-in, or migrate data in or out of systems. Synapse boasts broad application-use across industries that demand rapid, accurate, and flexible systems integration, including, but most certainly not limited to:
- Software as a service (SaaS)
- Retail and eCommerce
- Healthcare
- Logistics
- Quick service restaurants (QSR)
- Manufacturing and machine learning (ML)
- Fintech
- Travel & leisure
- Higher education
“Synapse represents a paradigm shift in data management,” said Yaron Benjamin, CEO, Aionic Digital. “It’s a transformational accelerator designed for companies that need to integrate data across different ERPs or CRMs, to popular booking and ticket engines and eCommerce systems like OMS, PIM, CRM, DAM, CDP, and others. Synapse is the perfect solution for any business, organization, or enterprise that needs data integration across any system, any platform, at any time.”
Key benefits of Synapse include:
- Unprecedented efficiency in database migration with time savings of up to 50-60%
- Flexibility to adapt and integrate a variety of systems with ease
- Significant cost savings through reduced IT resource dependence
- Enhanced competitive advantage through quick adaptability to market changes
- Minimized risk of data loss or errors, safeguarding operational stability
- Scalable solutions to match the growth trajectory of business
- Empowerment of digital transformation initiatives across sectors
by Gary Mintchell | May 2, 2024 | Data Management, Generative AI, Operations Management
Now that ChatGPT has been out for a while, people playing with it have discovered the shortcomings. Today at MIT, Sam Altman acknowledged the shortcomings of GenerativeAI. But that doesn’t stop companies from jumping on the GenAI bandwagon. Yes, they are using it. I’d just suggest doing a test drive or asking a lot of questions to discover just what it can do for you.
This is news from a company using Generative AI for predictive applications. Check it out.
SymphonyAI, a leader in predictive and generative enterprise AI SaaS, announced IRIS (Industrial Reasoning and Insights Service) Foundry, an industrial data operations platform for the rapid creation of robust digital industrial applications that improve process efficiency, reduce unscheduled asset downtime, and enhance connected worker capabilities. IRIS Foundry, powered by SymphonyAI’s award-winning predictive and generative EurekaAI platform, uses AI-enabled data contextualization at enterprise scale and is both open and composable.
IRIS Foundry provides the differentiating building blocks of industrial data management and governance needed to deploy AI-embedded manufacturing solutions at enterprise scale. IRIS Foundry has prebuilt connectors to extract data from IT, OT, and enterprise data sources into polyglot dataops storage to ensure versatile handling and integration of multiple data contexts. Data is organized into a structured asset hierarchy using AI-powered P&ID ingestion or through an existing asset historian framework. This process, enhanced with sophisticated contextualization services, automatically maps data into a unified namespace. The result is a dynamic industrial knowledge graph, simplifying access to and navigation of information. The IRIS Foundry knowledge graph is a foundational layer for enriched analysis and insights, empowering IRIS copilots for user-based interactions and guiding the exploration and understanding of complex data landscapes. Industrial applications built on IRIS Foundry adhere to data governance, audit, and security standards.
IRIS Foundry offers a low-code, drag-and-drop user experience, easy integration with programming tools, and an ability to deploy in various modes ranging from SaaS to customer-hosted models in a private cloud. Built on a lightweight architecture with cloud and edge computing in scope, the install footprint is synergistic with manufacturers’ operational technology (OT), information technology (IT), and external data ecosystems and contains hundreds of prebuilt connectors, reducing the effort to unify industrial data.
by Gary Mintchell | Mar 12, 2024 | Automation, Data Management, Software, Technology
- 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.
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.
