Commentaries & Highlights

PTC announced it will demonstrate how Bobcat, a leading global manufacturer of compact equipment, can leverage the Intelligent Product Lifecycle to improve the development process of an excavator at Hannover Messe (HM) 2026. By creating a centralized product data foundation that connects design, engineering, and operations and enables AI-driven transformation, Bobcat can reduce time, errors, and rework across highly complex products and processes. Bobcat is known for inventing the compact equipment industry and has been collaborating with PTC for over 30 years to explore new ways to advance it by pioneering products and services that help customers accomplish more. Bobcat currently leverages PTC’s Creo® computer‑aided design (CAD) solution as its global engineering design foundation, integrated with PTC’s Windchill® product lifecycle management (PLM) solution, to connect product data, change management, and lifecycle processes across engineering, manufacturing, and service. Bobcat also uses Arbortext® within Windchill to create and manage BOM‑linked technical publications and relies on the Servigistics® service supply chain optimization

Tech Mahindra, a leading global provider of technology consulting and digital solutions to enterprises across industries, announced it has been named the 2026 Google Cloud Partner of the Year in the Services & Industry Solutions: Manufacturing category. This recognition highlights Tech Mahindra’s strength in delivering industry-specific solutions that move beyond pilots to production-grade cloud and AI transformation. Tech Mahindra has been recognized as the 2026 Google Cloud Partner of the Year in the Services & Industry Solutions: Manufacturing for enabling manufacturers to build intelligent, data-driven operations by bringing together AI, data platforms, and enterprise systems at scale. By integrating data across plants, supply chains, and business functions, and embedding AI into core workflows, Tech Mahindra and Google Cloud help organizations move from fragmented insights to real-time, decision-ready intelligence and automated actions. This is driving measurable improvements in operational resilience, efficiency, and continuous optimization across manufacturing operations. Amol Phadke, Chief Transformation Officer, Tech

MongoDB, Inc. announced the expansion of its product leadership team with two executive appointments. Pablo Stern will join the company as Chief Product Officer, AI and Emerging Products, and Ben Cefalo, a longtime MongoDB product leader, has been named Chief Product Officer, Core Products. Jim Scharf continues in his role as Chief Technology Officer. Stern, Cefalo, and Scharf will report to CJ Desai, President and Chief Executive Officer. "MongoDB's innovation agenda is aggressive," said Desai. "We are driving significant innovation across our core database products while simultaneously moving with velocity and faster iterations on our emerging products. Having a dedicated leader for each focus area will allow us to deliver what our customers need as they standardize both their core applications and AI workloads on MongoDB. With our new Chief Revenue Officer, Chief Customer Officer, and now this expanded product leadership team in place, I'm confident we have the right leaders

Infosys, a global leader in AI-first business consulting and technology services, announced a strategic collaboration with OpenAI to help enterprises transform software development and modernization with OpenAI’s frontier AI models and products like Codex. Through this collaboration, Infosys will combine OpenAI’s technology with Infosys Topaz Fabric, its purpose-built, composable and open agentic services suite, to help customers move from AI experimentation to practical, responsible deployment and measurable business outcomes. The engagement spans high-impact industry and functional opportunities, with an early focus on software engineering, legacy modernization, DevOps automation, e-commerce, and other engineering-led domains. By combining Codex, workflow automation, and prebuilt agents with Infosys’ poly-AI architecture and enterprise governance, the collaboration is designed to help organizations modernize development workflows, improve engineering productivity, accelerate delivery, and reduce time-to-market. Infosys, with its deep industry expertise and global delivery scale across application modernization, software engineering, and enterprise transformation, is well positioned to help organizations put Codex to work in

Infor, the Industry Cloud Complete company, and Amazon Web Services, Inc. (AWS) announced new and enhanced industry-specific AI agents built natively on AWS, enabling manufacturing and distribution enterprises to deploy industry-specific AI agents that reason, plan, and act across complex business workflows. The collaboration addresses discrete and process manufacturing's AI scaling challenge by combining enterprise-grade infrastructure with industry-specific capabilities, enabling companies to rapidly develop and deploy AI agents that drive measurable improvements in efficiency, cost, and customer service. “The conversation has changed from 'where do we start with AI' to 'how fast can we scale it," said Ozgur Tohumcu, General Manager of Automotive and Manufacturing at AWS. "Through our collaboration with Infor, manufacturers are moving from pilot to production faster than ever — deploying industry-specific agents that deliver operational advantages at enterprise scale.” "Generic AI doesn't work in manufacturing — you need agents that understand manufacturing-specific operational processes, bill of materials, supply

Accenture and Google Cloud announced a significant expansion of their partnership, with the launch of a first-of-its-kind program focused on helping enterprises drive AI-powered reinvention and business value faster and at scale. Through the Gemini Enterprise Acceleration Program, Accenture and Google Cloud will bring together thousands of AI-skilled engineers, forward deployed engineers (FDEs) and industry domain experts, and Faculty’s deep expertise in applied AI. “AI is simple to try and hard to scale—and that’s the moment leaders are in right now,” said Julie Sweet, chair and CEO, Accenture. “The real shift is moving from using AI as a tool to deploying agents that can take on meaningful work across the enterprise. We are excited to expand our collaboration with Google Cloud to help our clients make that shift at scale, with humans in the lead, so that AI is embedded in how work gets done, strengthens customer experiences and delivers measurable

The premier global event series highlights AI integration, a record-breaking US$87.25 BN market size, and an industry-leading Digital Twin/Thread benchmark. ANN ARBOR, Michigan, USA 23 April 2026— CIMdata, Inc., the leading global research, consulting, and education firm specializing in Product Lifecycle Management (PLM) and the Digital Transformation it enables, announces the successful completion of its 2026 PLM Market & Industry Forum series. This year’s forums, hosted across the USA, France, India, China, and Japan, provided the "PLM Economy" with its first look at the 2025 market results and the emerging trends defining the future of digital transformation. The 2026 theme, "AI in PLM: Expanding Capabilities Across the Product Lifecycle," resonated deeply with an international audience of software and service providers. As AI shifts from experimental to essential, the forums served as a critical venue for discussing the state of AI adoption and how to absorb these technologies into the enterprise roadmap to

Trace Exactly What's Driving Your Milestone On a complex, phased project where a missed milestone means liquidated damages, the question "what's actually driving this date?" needs a direct answer. Inspect Path has always shown the full network of connected elements, but that view includes a lot of activities that aren't actually on the driving path. Two new toggles in the Inspect Path ribbon change that: one filters to only the elements driving the selected activity or milestone, the other controls whether you see predecessors, successors, or both. The result is a focused, clean view of the exact chain that matters, available in both the Gantt and the Canvas.  Focus on What's Driving Your Milestone, Not the WBSs Around It Inspect Path in Gantt is built for tracing what matters on your schedule. But when WBS groups show up alongside the activities, milestones, and tasks you're actually trying to analyze, the view becomes harder

At Hannover Messe 2026, Siemens has announced significant expansions to its Industrial Edge ecosystem, accelerating data and AI integration and releasing enhanced cybersecurity functionalities. These enable a seamless integration of IT and Operational Technology (OT) environments, optimize processes and reduce operational disruptions. “Siemens Industrial Edge is evolving into a comprehensive platform that combines AI, security and ecosystem innovation,” says Dr. Horst J. Kayser, CEO Factory Automation at Siemens Digital Industries. “This gives our customers greater operational flexibility, simplified IT/OT integration and certified security for critical operations – all from one scalable platform.” AI integration and decentralized SCADA for greater flexibility The Industrial AI Suite, based on Industrial Edge, is now generally available. It simplifies the entire AI lifecycle and enables embedding industrial AI via a complete infrastructure, easily scaling AI models and managing them across locations. The Industrial AI Suite supports a wide range of AI-based applications such as predictive maintenance and visual inspection to

Modelon, a leader in cloud-native, physics-based system simulation software, announced an artificial intelligence (AI) assistant integrated into Modelon Impact, its flagship platform for system simulation. The AI assistant will help engineering teams get started easier, generate results faster, enable more collaboration, and achieve higher productivity in their daily work. The AI assistant uses state-of-the-art commercial Large Language Models (LLMs) and has been trained with Modelon’s unique and proprietary simulation libraries, which have been built and refined for more than a decade. These libraries include a wide range of applications in different industry domains, covering data centers, building, thermal, energy, automotive, and aerospace. The AI assistant can suggest reference models and simulation components that are relevant for customers’ engineering problems. Users can get support in selecting parameters to study and optimize, helping them to reach faster and more accurate results. Traditionally, simulation software has relied on its users to create, simulate and analyze