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Oleg Shilovitsky said that I’m excited to share what our team was working on recently and the updates we released in OpenBOM earlier this week. Our team has continued focusing on a simple principle: make OpenBOM easier to use in everyday engineering and procurement workflows. Many of the improvements in this update come directly from customer feedback—small operational gaps that become very visible when teams manage real production data, revisions, and orders. Let’s take a look at what’s new. Create Order from BOM Revision  Simplify BOM/Item Relationships – Delete Command Orders Dashboard Filtering for Open and Released Orders The “Release to production“ Dialog Improvements  The “Create Order“ Dialog Improvements  The “Order“ User Interface Improvements  User-Defined Commands Support a Static Body Parameter Read in detail here: https://www.openbom.com/updates/openbom-product-update-february-2026 To view the original press release, please click here. Search for OpenBOM on CIMdata.com

The FMI Project is happy to announce the alpha pre-release of the FMI Layered Standard References (FMI-LS-REF), which allows the inclusion of related files into an FMU. Thanks to the FMI Project Team and especially to Pierre Mai (PMSF IT Consulting Pierre R. Mai) for the work! Summary: This layered standard provides the capability to clearly designate the roles of additional related files included in an FMU in a structured way. These files are described in the layered standard manifest file, which is part of the FMU archive. In this way, an FMU can be shipped together with related files that are helpful in understanding and correctly using the FMU in a recognizable way. Note that this layered standard does not mandate the inclusion of any related files with an FMU. It only provides a structured way to describe such files, if they are included. The included related files can be of

Capgemini announced a five-year extension of its strategic partnership with McDonald’s Corporation to support modern, scalable platforms across guest and crew facing experiences, aligned to McDonald’s Accelerating the Arches strategy. As outlined by McDonald’s at its 2023 Investor Update, the company aims to reach 250 million 90-day active loyalty users and achieve $45 billion in annual systemwide sales to loyalty members by the end of 2027, while also connecting thousands of restaurants to cloud-based capabilities. For over a decade, Capgemini has worked in close partnership with McDonald’s to support its digital transformation journey. The next five years will focus on the next phase of that journey to unlock revenue growth and drive even greater business value for McDonald’s through modernizing restaurants, advancing consumer tech, accelerating speed to market, and shifting to more cost-efficient models, all powered by AI. Through this agreement, Capgemini will continue to deliver engineering, deployment, and support services for select customer

Bamboo Rose highlighted its ongoing partnership with iconic Australian brand R.M.Williams, a long-standing customer of Bamboo Rose Plan, formerly Foresight Retail and now part of the TotalPLM™ platform. R.M.Williams is live on Item Planning and is progressing toward Merchandise Financial Planning, with additional capabilities planned through 2026. Through Bamboo Rose Plan, R.M.Williams is strengthening planning across both locally manufactured core products, including its celebrated Made-in-Australia boots, and purchased goods. This enables more connected and responsive decision-making across the assortment. “R.M.Williams has been a valued partner, and it’s exciting to see the momentum they’re building with Bamboo Rose Plan within TotalPLM,” said Gary Lalli, planning product strategist at Bamboo Rose. “Their team is using planning to support a powerful Australian manufacturing story while creating a foundation for future growth and emerging AI capabilities.” “Partnering with Bamboo Rose is helping us modernize the way we plan and make decisions across the business,” said Peter Ratcliffe, head of technology

Tech Mahindra, a leading global provider of technology consulting and digital solutions to enterprises across industries, announced a partnership with SCSK Asia Pacific Pte. Ltd., the local subsidiary of SCSK in Asia, a major Japanese IT services and software company. The partnership aims to accelerate the global expansion of SCSK’s ADVENTURECluster—an advanced Computer-Aided Engineering (CAE) solution and fast-track product development lifecycles for engineering organizations by streamlining the design and validation stages through cutting-edge CAE capabilities. Tech Mahindra will be the specialized joint go-to-market partner for ADVENTURECluster across global markets, including India, North America, and Europe. This will involve driving ADVENTURECluster–related services across promotion, licensing and deployment. Leveraging its investments in state-of-the-art industrial and digital labs, Tech Mahindra will build a skill base across geographies with a Centre of Excellence and integrate Artificial Intelligence (AI) into product development process of customer globally, automating design optimizations and enabling them to bring well-designed products

Tata Consultancy Services (TCS), a global leader in IT services, consulting, and business solutions, launched its seventh Gemini Experience Center (GEC) at its Innovation Hub in Troy, Michigan. Established in partnership with Google Cloud, the newest TCS GEC focuses on developing cutting-edge Physical AI solutions tailored for the manufacturing sector. The new center marks a significant step in the global expansion of TCS’ Gemini Experience Centers. By the end of 2026, TCS and Google Cloud will have a total of 13 GECs worldwide, with six additional centers set to launch this year. As AI adoption accelerates across industries, these centers will play a critical role in helping enterprises move from isolated AI pilots to scalable, production-ready transformation programs. The Physical AI GEC for Manufacturing in Troy will enable global manufacturers to explore, test, and scale Physical AI use cases for safety, quality, and operational efficiency with intelligence at the core. The center

Department of Electronic Systems Engineering (ESE) at IISc, Bangalore jointly with LTM– the Business Creativity partner to the world’s largest enterprises, successfully hosted a Neuromorphic Computing Hackathon on 7 March, 2026. The initiative fostered cutting-edge AI research awareness through this joint engagement. Neuromorphic computing, a brain-inspired approach to artificial intelligence, is emerging as a cornerstone for next-generation intelligent systems. By enabling energy-efficient, event-driven and adaptive AI, neuromorphic architectures are particularly suited for edge and cyber-physical applications. Through this hackathon, LTM Research and IISc’s Department of Electronic Systems Engineering provided students and researchers with hands-on exposure to applying neuromorphic principles to real-world problem statements. The hackathon brought together more than 72 participants from 13 colleges clubbed into 28 teams, to explore the rapidly evolving field of neuromorphic computing. Top 10 teams that addressed specialized problem statements in these domains were shortlisted for final evaluation. Team Endurance from M V J College of Engineering, Bengaluru emerged as the winner of the hackathon. As the key members of the team, Srikar T,

MariaDB plc announced that it has entered into a definitive agreement to acquire GridGain Systems, Inc., the pioneer of in-memory computing and creator of open source Apache Ignite. By merging MariaDB’s AI-ready relational database with GridGain’s scalable, in-memory power, MariaDB is setting a new industry standard: sub-millisecond data infrastructure for the agentic era. Closing the AI Latency Gap As enterprises move beyond passive chatbots toward agentic AI – autonomous systems that reason, plan and execute tasks – they are quickly becoming limited by traditional data architectures. AI agents require real-time access to massive datasets with zero friction. This acquisition bridges that gap by fusing: MariaDB’s reliability: Proven, ACID-compliant transactional integrity for the world’s most sensitive data, with native vector capability and AI support. GridGain’s speed: Extreme-scale and in-memory processing that eliminates the disk-drive tax on performance. “The rise of agentic workloads has placed unprecedented demands on enterprise infrastructure, causing requirements to explode and requiring a level of

Xometry, Inc., the global, AI-native marketplace connecting buyers and suppliers of custom manufacturing, announced the release of its new Enterprise Machining Lead Time Prediction Model and enhanced dynamic pricing logic. These releases expand the Xometry Instant Quoting Engine®, strengthening Xometry’s proprietary data advantage and deepening the design-to-fulfillment intelligence that powers its AI-native marketplace. Together, these advancements deliver higher prediction accuracy, improved operational efficiency, and expanded rapid lead-time options. They accelerate customers’ time to market and increase delivery reliability, while reinforcing Xometry’s leadership in AI-powered industrial sourcing and its ability to close the loop between digital quoting and real-world production outcomes. New Enterprise Machining Lead Time Prediction Model As AI reshapes expectations in manufacturing, Xometry continues to advance its proprietary Instant Quoting Engine, which leverages deep learning trained on real-world production and delivery data from its extensive global Partner Network of manufacturing suppliers. This continuously expanding dataset enables Xometry to dynamically refine market-driven lead time

Combines Siemens’ private 5G infrastructure and continuous cybersecurity monitoring with Palo Alto Networks’ AI-driven cybersecurity solution Purpose-built for OT environments, tested across multiple industrial deployment scenarios Enhanced cybersecurity for Industrial 5G networks without compromising on performance, part of the Siemens Xcelerator portfolio At Mobile World Congress 2026, Siemens announced a verified cybersecurity solution for industrial private 5G Networks in collaboration with Palo Alto Networks. The solution combines Siemens' Private 5G infrastructure with Palo Alto Networks' Next-Generation Firewall (NGFW), specifically optimized for AI, extensively tested to verify high availability, network resilience, and uninterrupted operations. It enables manufacturers to meet diverse industrial security requirements while maintaining the critical performance their increasingly AI-driven productions demand. “A pharmaceutical plant has different security requirements than an automotive assembly line," said Michael Metzler, Vice President Horizontal Management Cybersecurity for Digital Industries at Siemens. "Siemens’ verified solution with Palo Alto Networks addresses these industry-specific needs through purpose-built architecture. Manufacturers get secure