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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

New capabilities accelerate simulation review, improve communication with operators, enhance machining strategies, and introduce practical AI assistance inside the CAM workflow Faster program verification: simulation rewind is now up to 30 times faster, allowing programmers to review complex machining sequences without losing momentum Clearer shop-floor visibility: interactive 3D simulation recordings can be shared through Live Job Reports, giving operators a clearer view of machining processes before the job reaches the machine Enhanced machining and usability: toolpath improvements strengthen cutting performance while Hexagon Copilot for EDGECAM introduces natural-language assistance inside the CAM environment As machining strategies become more sophisticated and delivery expectations continue to tighten, CNC programmers are under growing pressure to prepare reliable programs quickly while maintaining confidence on the shop floor. Modern CAM systems provide powerful capabilities to support complex machining. But with longer programs, more operations, and increasingly demanding parts, programmers are also spending more time verifying toolpaths, reviewing simulations, and communicating machining strategies to operators. To help manufacturers keep pace with these demands, Hexagon’s

Agiloft, the global leader in data-first contract lifecycle management (CLM), announced Agiloft Astra™, a contracts AI platform built for legal, procurement, sales, and finance, which illuminates contract data to create actionable decisions, designed to help enterprises unlock the full business value of their contracts. The platform introduces a free tier, giving teams a way to get started without the cost and rollout typically associated with enterprise-grade contract analytics tools.  Astra addresses two of the primary barriers to adopting contracts AI: cost and data security. With Astra, teams can begin using AI immediately to analyze agreements, identify risks, and extract insights, without entering a procurement process or committing budget. The platform operates under the Astra Clean Data Promise, ensuring that all customer data in Astra is used solely to deliver the service and comply with applicable laws. Unlike many AI providers who use data from free accounts to train their models, Agiloft Astra guarantees the same data policies and protection to free users as it does to paying customers. “One of the biggest barriers to contract technology has always been access, and Astra is built to tear that down,” said Otto Hanson, VP of Product and GM of Astra at Agiloft. “Its power is not only in what

Simulations Plus, Inc. (“Simulations Plus” or the “Company”), a global leader in model-informed and AI-accelerated drug development that advances biopharma innovation, announced a funded research collaboration with Lonza Group AG (“Lonza”), a leading contract development and manufacturing organization (CDMO) dedicated to serving the healthcare industry, and the U.S. Food and Drug Administration (FDA) to develop and validate a mechanistic, predictive framework for assessing the in vivo performance of amorphous solid dispersion (ASD) drug products. “Complex oral formulations such as amorphous solid dispersions present significant scientific and regulatory challenges due to their sensitivity to physiological and manufacturing variables,” said Dr. Viera Lukacova, Chief Scientific Officer of Simulations Plus. “Through this funded collaboration, we aim to integrate advanced in vitro systems with mechanistic modeling to improve prediction of in vivo performance, support regulatory decision-making, and enable more efficient development pathways for these high-impact therapies that deliver faster dissolution and more drug absorption.” Advancing Mechanistic, Model-Informed Approaches for Complex Products ASDs are

Schneider Electric, a global energy technology leader, began its participation at the 2026 BloombergNEF (BNEF) Summit (April 21–22) in New York, outlining the importance of addressing both an energy demand and energy intelligence challenge to effectively help close a growing global power gap and accelerate U.S. competitiveness. Artificial Intelligence (AI), data centers, electrification, and digitalization are driving a historic acceleration in global electricity demand. Schneider Electric’s Research Institute finds that AI could account for up to 50% of U.S. electricity demand growth between 2025 and 2030, with high‑end scenarios projecting total additional U.S. electricity demand reaching 157 GW by 2029.  “A new energy landscape—driven by AI, data centers, and electrification—is creating unprecedented needs which can be solved by advanced energy technologies,” said Pankaj Sharma, Executive Vice President, Software and Services at Schneider Electric. “This calls for a fundamental shift towards energy intelligent ecosystems that can dynamically sense, predict and optimize in real time to unlock

With new features for greater efficiency and flexibility, NUM is setting clear trends in digital tool manufacturing at GrindingHub 2026 in Stuttgart. The focus is on furthering the development of the proven tool grinding software NUMROTO, as well as the unveiling and launch of the new NUMROTO X. These advancements help to specifically optimize grinding processes and tailor software functions precisely to diverse manufacturing requirements. Focus on measurable productivity gains At GrindingHub 2026, NUM will present the latest enhancements to NUMROTO, which are designed to meet the key requirements of modern tool manufacturing: greater efficiency, higher process reliability, and software functions that can be specifically adapted to different production requirements. The focus is on the new feed rate optimization feature via 3D material removal rate in NUMROTOplus. It automatically adjusts machining feed rates based on the calculated material removal volume from the 3D simulation. This is particularly advantageous for machining operations with

Aptean announced the exclusive preview of its AI platform, AppCentral, and AI Agents for Microsoft Dynamics 365 Business Central on-premises customers. Previewing at Directions North America, the solution brings the power of AI to organizations that have not yet migrated to the cloud. Aptean's partner network gets a fully packaged, ready-to-sell platform - complete with 10 AI agents - that delivers AI to every customer they serve, driving value and a new revenue opportunity for themselves. Partners get their first opportunity to see AppCentral and the AI agents in action at Directions North America, April 27–29 in Orlando. Book a meeting: Directions NA | 27 - 29 April, 2026 A New Market for Business Central Partners Until now, Business Central customers running on-premises deployments have had no practical path to AI. Aptean’s AI platform, AppCentral, removes that barrier. Partners can now bring AI to every Business Central customer they serve – on premises

Ann Arbor, Michigan, USA 22 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 that Dr. Diego Tamburini, Executive Consultant and Director of its AI in PLM practice, was recently featured on the Stay Sharp in Digital Engineering podcast. Hosted by Razorleaf, the episode titled "Build, Buy or Wait, Navigating the AI Implementation Stack" takes a deep dive into what it actually takes to move from AI experimentation to production-ready deployment in manufacturing and engineering organizations. Drawing on over 25 years of experience at organizations including Microsoft, Autodesk, and Siemens Digital Industries, Dr. Tamburini Diego walks through the full AI implementation spectrum, from off-the-shelf embedded tools to fully custom builds, and explains the critical difference between AI-augmented workflows and true agentic AI. He also shares where most organizations go wrong, what skill sets are needed at

Accenture and Avanade are co-developing an agentic factory intelligence system with Microsoft to help companies reinvent factory operations through seamless collaboration between humans, machines, AI agents and data. Leading manufacturers Kruger and Nissha Metallizing Solutions are early adopters, helping validate the agentic factory ahead of its planned general availability later in 2026. Accenture and Avanade are presenting the product in collaboration with Microsoft at Hannover Messe 2026*. The agentic factory moves beyond traditional manufacturing analytics, dashboards and oversight tools. It enables AI agents that assist factory operators with initial status checks, diagnostics and guided troubleshooting when production lines or machines are not producing at the intended rate. The agents analyze operational context, historical machine behavior and production data to suggest likely causes and recommended actions. When additional support is required, the product helps prepare maintenance tickets or spare parts orders. “Manufacturers are looking to reinvent their shop floor operations with AI for improved safety and productivity,” said Tracey