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Siemens and TRUMPF Join Forces to Advance Industrial Automation and AI-Ready Factories

27 Mar
31

Siemens and TRUMPF Accelerate Digital Manufacturing and AI Readiness Siemens and TRUMPF Accelerate Digital Manufacturing and AI Readiness

Bridging IT and OT for Smarter Factories

Siemens and TRUMPF announced a strategic collaboration to enhance industrial automation and digital manufacturing. By combining Siemens' Xcelerator portfolio with TRUMPF's machine tool and software expertise, the partnership addresses a persistent challenge: connecting IT systems with operational technology (OT) on the factory floor. This integration ensures faster data flow, real-time decision-making, and greater production efficiency.

Leveraging AI in Motion Control Applications

The collaboration emphasizes AI readiness for manufacturing operations. Siemens and TRUMPF are developing open and interoperable IT interfaces that support intelligent motion control systems. As a result, factories can implement predictive maintenance, automated process optimization, and data-driven decision-making more seamlessly than ever.

Enhancing Factory Flexibility Through Integrated Systems

Modern manufacturing increasingly depends on software-driven solutions. Siemens and TRUMPF focus on combining hardware and software into fully integrated systems. This approach reduces complexity, accelerates innovation cycles, and allows factories to adapt quickly to changing production demands, enhancing flexibility and operational agility.

Modular Architectures for Scalable Automation

The partnership introduces modular system architectures and standardized interfaces, enabling smooth connectivity between shop floor equipment and enterprise-level systems. This approach reduces engineering costs, supports scalable factory expansions, and ensures future-proof automation. Open, modular solutions empower manufacturers to adopt AI tools without disrupting existing processes.

TRUMPF’s Role in Smart Factory Leadership

TRUMPF strengthens its position as a leading provider of smart manufacturing solutions, particularly in the sheet metal industry. Through this collaboration, TRUMPF machines, robots, and AI-enabled part recognition tools can communicate more effectively with Siemens digital platforms. This creates new opportunities for productivity, quality assurance, and digital process optimization.

Fostering Innovation Through Ecosystem Collaboration

Continuous collaboration between Siemens and TRUMPF development teams demonstrates the importance of a vibrant industrial ecosystem. By sharing expertise and aligning on standards, both companies accelerate the deployment of industrial automation solutions, enabling manufacturers to stay competitive in an AI-driven era.

Industry Insight: Why This Matters

Connecting IT and OT systems is a cornerstone of modern industrial automation. Manufacturers that implement AI-ready, modular solutions can reduce downtime, enhance predictive maintenance, and improve product quality. Siemens and TRUMPF’s approach sets a benchmark for integrating software, PLCs, DCS, and control systems in high-volume production environments.

Applications and Solution Scenarios

  • Factory Automation: Streamlined communication between machines, robots, and PLCs for automated production lines.
  • Predictive Maintenance: AI-driven analytics to anticipate equipment failures and optimize maintenance schedules.
  • Process Optimization: Real-time monitoring and control of production parameters to improve throughput and reduce waste.
  • Digital Twin Integration: Simulating production processes to test improvements before implementing on the shop floor.
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Categories: News

Ethernet Powers AI-Driven Industrial Automation at ECOC 2025

25 Mar
13

Ethernet and AI Converge in Ethernet Alliance's ECOC 2025 Demo Ethernet and AI Converge in Ethernet Alliance's ECOC 2025 Demo

Ethernet Alliance Demonstrates Next-Generation Connectivity

The Ethernet Alliance will showcase its latest innovations at ECOC 2025 in Copenhagen from September 29 to October 1, 2025. The live multivendor demonstration highlights optical and copper connections ranging from 100G to 800G, including Linear Pluggable Optics (LPO). This demonstration emphasizes Ethernet’s critical role in enabling industrial automation and AI workloads.

AI and Ethernet Converge for Industrial Control Systems

Ethernet provides the bandwidth, low latency, and flexible provisioning needed to train complex AI models. By ensuring interoperability across diverse systems, it removes bottlenecks that can slow AI applications in industrial automation, PLCs, DCS, and factory control networks. As a result, engineers can deploy AI tools and predictive analytics more efficiently.

Industry Leaders Collaborate on Interoperability

Participating companies include Alphawave Semi, Amphenol Corporation, Cisco Systems, Formerica OptoElectronics, Huawei, Keysight Technologies, MultiLane, Synopsys, TE Connectivity, Teledyne LeCroy, and VeEX. Their joint efforts demonstrate Ethernet’s ecosystem strength, showing how collaborative standards enable seamless integration in industrial and AI networks.

AlphaCHIP1600 Enhances Plug-and-Play Networking

Alphawave Semi’s AlphaCHIP1600 I/O chiplet exemplifies ecosystem-first design, supporting plug-and-play Ethernet interoperability. From high-density data-center switches to edge AI accelerators, the chiplet accelerates time-to-market and future-proofs deployments. This solution underlines the importance of modular, high-performance networking in modern industrial automation.

Ethernet’s Role in Scalable Industrial Automation

Peter Jones, chair of the Ethernet Alliance, notes, “Ethernet links AI clusters and industrial control networks, ensuring fast, reliable, and scalable connections.” By integrating Ethernet into PLCs, SCADA systems, and DCS networks, manufacturers can improve real-time monitoring, predictive maintenance, and factory automation efficiency.

Future-Proof Networking for AI Applications

David J. Rodgers of EXFO emphasizes that interoperability enables Ethernet to connect the world’s most powerful compute engines. For industrial automation, this means faster insights, responsive control systems, and networks ready to evolve alongside AI-driven factory technologies.

Applications in Industrial Automation

  • High-Speed AI in Factories: Use Ethernet to link AI accelerators for predictive analytics.
  • PLC and DCS Integration: Ensure seamless data flow across control systems for real-time decision-making.
  • Edge-to-Cloud Connectivity: Connect edge devices to cloud platforms with low latency and secure bandwidth.
  • Plug-and-Play Upgrades: Deploy modular networking components like AlphaCHIP1600 for flexible factory automation.
By combining Ethernet standards with AI-ready infrastructure, industrial automation networks can achieve unprecedented speed, scalability, and interoperability.
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Categories: News

Industrial Automation Strategies Shift as Manufacturers Respond to Geopolitical Risk and Supply Chain Disruption

22 Mar
20

Revalize Research: Manufacturers Are Adjusting Supply Chain and Operations Strategies Due to Economic Uncertainty Revalize Research: Manufacturers Are Adjusting Supply Chain and Operations Strategies Due to Economic Uncertainty

Supply Chain Restructuring in Industrial Automation Environments

Manufacturers now face rising geopolitical uncertainty worldwide. Therefore, many companies are redesigning supply chain strategies. They aim to protect operations and stabilize long-term growth.Recent industry research shows that most manufacturers adjust sourcing models. Moreover, many reduce dependence on single-country suppliers. This shift supports resilience in factory automation ecosystems.In industrial automation projects, supply continuity directly affects PLC and DCS deployments. However, unstable logistics can delay system integration and commissioning. As a result, companies prioritize diversified supplier networks and regional sourcing.From my industry perspective, resilience planning has become essential. Manufacturers must evaluate risk exposure across equipment, components, and software platforms. Therefore, supply chain strategy now connects closely with control system reliability.

Rising Costs Impact Factory Automation and Production Planning

Geopolitical tensions increase production and compliance costs. Tariffs and regulatory changes raise total operational expenses. In addition, global trade instability affects procurement timelines.Manufacturers report pressure on margins across multiple sectors. Therefore, leaders reassess sourcing, logistics, and vendor agreements. They also analyze cost structures within factory automation investments.Higher component prices influence control systems projects. For example, industrial PCs, sensors, and network devices face cost fluctuations. Consequently, companies evaluate lifecycle value instead of short-term pricing.In practice, experienced engineering teams now conduct deeper cost-risk analysis. They align capital expenditure decisions with long-term automation roadmaps. This approach strengthens financial stability and operational transparency.

Digital Transformation and AI in Control Systems

Manufacturers accelerate digital transformation to offset uncertainty. Moreover, they invest in data-driven decision-making platforms. Artificial intelligence plays a central role in this transition.Companies apply AI to supply chain planning and inventory optimization. Therefore, they improve forecasting accuracy and resource allocation. In addition, AI enhances operational visibility across industrial networks.Within industrial automation, AI integrates with PLC and DCS environments. It supports predictive maintenance and process optimization. As a result, factories increase uptime and reduce unplanned downtime.However, many organizations face integration challenges. Legacy infrastructure and siloed systems limit data flow. Therefore, successful implementation requires structured digital architecture planning.From an experience standpoint, digital integration works best with standardized data models. Engineers must align IT and OT systems carefully. This alignment strengthens control systems performance and cybersecurity resilience.

Regionalization and Supply Chain Diversification Strategies

Many manufacturers now diversify suppliers across multiple regions. Moreover, they reduce reliance on high-tariff markets. This regionalization strategy improves operational flexibility.Companies increasingly prioritize technology-enabled suppliers. Therefore, they evaluate partners based on digital capability. This trend directly influences industrial automation ecosystems.Advanced suppliers often provide integrated solutions for factory automation. These solutions include engineering support, system integration, and lifecycle services. As a result, collaboration becomes a competitive advantage.In my view, supplier selection now extends beyond price comparison. Decision-makers assess innovation capacity and technical expertise. This approach supports sustainable automation investments.

Long-Term Industrial Automation Investment Planning

If uncertainty continues, manufacturers plan further diversification. They also invest in new technologies and localization strategies. Therefore, resilience remains a strategic priority.Some companies strengthen supplier relationship management programs. In addition, they explore localized production models. These actions reduce exposure to global disruptions.Within control systems projects, long-term planning improves risk management. Engineers design scalable architectures that support future upgrades. Consequently, facilities maintain flexibility in evolving markets.From a professional standpoint, structured automation roadmaps deliver measurable value. They integrate PLC, DCS, cybersecurity, and analytics frameworks. Therefore, companies achieve stronger operational continuity.

Industry Outlook for Industrial Automation and Manufacturing Strategy

Geopolitical instability continues to influence global manufacturing. However, digital transformation provides strategic mitigation tools. Moreover, technology adoption accelerates operational agility.Industrial automation now supports both efficiency and resilience. Control systems enable real-time monitoring and adaptive production. As a result, factories respond faster to market changes.Industry leaders recognize that technology investment reduces risk exposure. Therefore, they combine supply chain diversification with digital modernization. This dual strategy strengthens competitiveness in uncertain environments.In conclusion, manufacturers must align strategy, technology, and operations. Industrial automation plays a central role in this transformation. Therefore, integrated systems and data-driven platforms define future success.

Application Cases and Solution Scenarios

Smart Factory Optimization Manufacturers implement PLC and DCS integration. They connect machines through secure industrial networks. Consequently, they improve production visibility and traceability.Supply Chain Risk Monitoring Companies use AI-based analytics platforms. They monitor supplier performance and inventory levels. Therefore, they respond quickly to disruptions.Regional Manufacturing Expansion Organizations localize production facilities. They reduce dependence on single-source regions. As a result, they increase operational stability.Digital Control System Modernization Engineering teams upgrade legacy systems. They adopt scalable architectures with integrated cybersecurity. In addition, they enhance long-term maintenance efficiency.

About Revalize

Founded in 2021, Revalize empowers manufacturing businesses to better design, model, developand sell—powering greater outcomes across the entire manufacturing value chain. With a portfolio of industry-leading CPQ, PLMand design solutions, Revalize provides a more efficient route from idea to cash. Revalize is a portfolio company of TA Associates and Hg.View the Full Report
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Hitachi Expands U.S. Industrial Automation and Energy Manufacturing to Strengthen Smart Factory Infrastructure

20 Mar
29

Hitachi Accelerates Growth With U.S. Investments in Advanced Manufacturing, Electrification Hitachi Accelerates Growth With U.S. Investments in Advanced Manufacturing, Electrification

Strategic Investment in Industrial Automation and U.S. Manufacturing Growth

Hitachi has announced major investments across the United States. These initiatives support advanced manufacturing, energy infrastructure, and digital transformation. Moreover, the strategy aligns with long-term growth in industrial automation and smart factory development.The company integrates IT, OT, and engineering expertise under its global vision. Therefore, it strengthens local production capacity while supporting economic resilience. In addition, the investments reinforce supply chains for critical infrastructure industries.From an industrial perspective, this expansion reflects rising demand for factory automation. Manufacturers increasingly require integrated control systems and digital platforms. As a result, global automation leaders continue to expand regional capabilities.

Digital Factory Innovation in Smart Rail Manufacturing

Hitachi Rail opened a new digital lighthouse factory in Maryland. The facility applies advanced factory automation and data-driven production systems. Moreover, it demonstrates how digital transformation improves industrial efficiency.The plant integrates AI-enabled manufacturing solutions under the Lumada platform. It also incorporates private 5G connectivity for real-time data exchange. Therefore, engineers can optimize workflow, material handling, and production tracking.The factory supports metro railcar production for major U.S. cities. In addition, it creates hundreds of direct jobs and strengthens regional supply chains. This approach shows how industrial automation enhances both productivity and sustainability.From my industry perspective, digital factories represent the next phase of modernization. However, success depends on seamless integration between software, hardware, and operations. Companies that combine these elements achieve measurable performance improvements.

Power Grid Expansion and Energy Infrastructure Modernization

Hitachi Energy announced significant investments in U.S. transformer manufacturing. These projects support electrical grid stability and renewable energy integration. Moreover, they address rising power demand from data centers and AI infrastructure.The company will expand transformer production capacity across multiple states. Therefore, it strengthens the domestic supply of high-voltage equipment. In addition, the investments support thousands of skilled manufacturing jobs.Reliable transformers and control systems are essential for modern grids. They ensure stable voltage regulation and efficient energy distribution. Consequently, energy automation plays a critical role in national infrastructure resilience.In my view, energy sector automation will continue to grow rapidly. Industrial control systems must support electrification and digitalization simultaneously. This convergence creates new opportunities for engineering innovation.

Automation Headquarters for Integrated Industry Solutions

JR Automation, part of the Hitachi Group, plans a new global headquarters. The facility will support advanced automation and digital engineering collaboration. Moreover, it will strengthen capabilities in integrated industrial solutions.The campus will feature demonstration areas for customers and partners. It will also support digital twin technology and edge computing applications. Therefore, engineers can design and validate systems before deployment.This investment reflects growing demand for scalable automation platforms. Manufacturers increasingly seek end-to-end control system integration. As a result, automation providers must deliver flexible and data-driven solutions.From an operational experience standpoint, centralized innovation hubs improve responsiveness. They accelerate testing, training, and system customization. This structure enhances long-term customer support and technical reliability.

Leadership Vision and Long-Term Industrial Strategy

Hitachi continues to execute its global management strategy. The company focuses on sustainable growth and social innovation. Moreover, it emphasizes harmonized development across environment, economy, and technology.Executive leadership highlights digital transformation as a core priority. Therefore, investments in industrial automation remain central to corporate planning. The strategy connects manufacturing expansion with societal infrastructure needs.The company operates across energy, mobility, and digital sectors. In addition, it leverages integrated solutions to solve complex challenges. This cross-sector approach strengthens both technical capability and market authority.In the industrial automation sector, credibility depends on execution. Hitachi’s long history in control systems supports its reputation. Consequently, the company maintains strong positioning in global markets.

Industry Impact on PLC, DCS, and Factory Automation Trends

Modern factories rely on PLC and DCS architectures. These systems coordinate processes, safety functions, and data acquisition. Moreover, they form the backbone of industrial automation networks.Digital integration enhances traditional control systems. It enables predictive maintenance and real-time analytics. Therefore, manufacturers improve uptime and operational efficiency.The expansion of smart factories accelerates adoption of connected technologies. Edge computing and AI applications complement conventional automation platforms. As a result, factory automation evolves toward fully integrated ecosystems.Industry observers expect continued convergence of IT and OT systems. However, successful implementation requires skilled engineering and system integration expertise. Companies that invest in digital infrastructure will gain competitive advantages.

Application Cases and Solution Scenarios

Smart Rail Manufacturing Digital factories use AI-based monitoring systems. They improve production visibility and quality control. Consequently, rail operators receive more reliable rolling stock.Energy Grid Modernization Transformer production supports renewable integration. High-voltage components stabilize power distribution networks. Therefore, utilities maintain grid reliability under increasing demand.Advanced Automation Headquarters Centralized R&D accelerates system design and deployment. Digital twin models reduce commissioning risks. In addition, collaborative engineering improves project efficiency.Integrated Industrial Control Systems Manufacturers combine PLC and DCS platforms with cloud analytics. This integration enhances performance monitoring and predictive maintenance. As a result, facilities achieve higher productivity and transparency.

Conclusion: Industrial Automation as a Driver of Sustainable Growth

Hitachi’s U.S. investments demonstrate a long-term industrial commitment. The company strengthens manufacturing, energy infrastructure, and automation capabilities. Moreover, it aligns digital transformation with economic development.Industrial automation continues to shape modern production systems. Therefore, companies must integrate advanced control systems and data platforms. In addition, strategic investment in smart factories ensures future competitiveness.
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Comau Advances Industrial Automation with AI Innovation at ETFA 2025

16 Mar
35

COMAU Highlights AI's Potential to Promote the Development of the Industrial System at ETFA 2025 COMAU Highlights AI's Potential to Promote the Development of the Industrial System at ETFA 2025

AI Strategy for Industrial Automation Presented at ETFA 2025

Comau presented its artificial intelligence strategy at ETFA 2025 in Porto, Portugal. The event took place from September 9 to 12. Therefore, it gathered global experts in factory automation and enabling technologies.ETFA, organized under IEEE, remains a leading conference for emerging technologies in industrial systems. Moreover, the event encourages collaboration between academia and industry. This environment supports innovation in industrial automation, robotics, and digital transformation.Comau used the platform to highlight how AI strengthens modern manufacturing. In addition, the company emphasized practical deployment rather than theoretical concepts. This approach aligns with real-world industrial requirements.

Machine Learning Applications in Factory Automation

Giovanni Di Stefano, Head of Advanced Robotics at Comau, delivered a presentation on neural networks in robotics. He explained how industrial heritage data supports advanced AI model development. Therefore, Comau leverages decades of experience in factory automation.The company integrates machine learning to improve robotic system performance. Moreover, it applies AI to optimize efficiency in production lines. These solutions support industries beyond automotive manufacturing.Comau builds customized AI models for specific technical needs. Consequently, customers receive tailored solutions instead of generic algorithms. This strategy improves reliability in complex industrial environments.

Leveraging Industrial Data for Control Systems Optimization

Comau has over 50 years of experience in industrial automation. Over time, the company digitized its engineering knowledge through Product Lifecycle Management systems. As a result, it created a valuable industrial data archive.This data supports the training of neural networks for real operational scenarios. Therefore, AI models reflect real production conditions rather than simulated environments. In industrial control systems, data quality directly impacts performance.From an industry perspective, combining legacy expertise with AI enhances competitiveness. However, success depends on structured data governance and engineering discipline. Comau demonstrates this integration through its development process.

AI-Driven Robotics Innovation and Engineering Efficiency

Comau applies artificial intelligence to improve robot joint stiffness calculations. This technology enhances motion precision and overall system quality. Moreover, it contributes to better performance in industrial robotics applications.The company also uses AI to design robotic welding gripper arms. Therefore, engineers reduce development time and engineering costs. This improvement increases productivity in manufacturing projects.These innovations support advanced applications in PLC- and DCS-based environments. In addition, they align with modern requirements for flexible factory automation. As industries demand higher precision, AI-supported engineering becomes increasingly important.

MI.RA Vision Systems and Intelligent Quality Control

Comau developed the MI.RA (Machine Inspection Recognition Archetypes) family of vision systems. These solutions integrate artificial intelligence with industrial inspection processes. Consequently, robots gain enhanced perception capabilities.MI.RA/OnePicker enables robots to identify and pick heterogeneous objects autonomously. Therefore, it improves efficiency in logistics and assembly operations. This capability supports flexible production lines.MI.RA/Thermography provides inline quality verification for welding processes. In particular, it supports battery manufacturing applications. As a result, manufacturers strengthen process control and product reliability.From a control systems perspective, AI-based vision reduces manual inspection dependence. Moreover, it improves traceability and quality assurance in high-volume production.

Industry Impact and Strategic Perspective on AI in Manufacturing

Comau views artificial intelligence as a strategic opportunity for industrial transformation. Therefore, the company focuses on proprietary AI models rather than external generic platforms. This approach protects intellectual property and technical differentiation.In my assessment, AI integration in industrial automation must remain application-driven. Technology should solve measurable production challenges. Consequently, companies should prioritize practical deployment over experimental implementation.Comau’s participation in ETFA 2025 reflects its commitment to global innovation dialogue. Moreover, collaboration between research institutions and industry accelerates technology transfer. This synergy supports sustainable development in factory automation.

Application Case: AI in Robotic Welding and Battery Production

Consider a battery manufacturing plant using automated welding systems. The production line requires precise joint quality and consistent inspection. Therefore, AI-based thermography systems can monitor weld integrity in real time.Comau’s MI.RA/Thermography solution enhances inline quality control. As a result, operators detect defects early and reduce rework. This approach improves efficiency and product safety.In addition, AI-optimized robotic design shortens commissioning time. Therefore, integrators can deploy automation systems faster. This benefit supports industries adopting advanced control systems and smart manufacturing strategies.

Solution Scenario: AI-Enhanced Factory Automation Infrastructure

A multinational manufacturer operating PLC and DCS-based plants can integrate AI-driven robotics. Comau’s customized models adapt to existing factory automation architectures. Therefore, companies enhance performance without replacing core systems.This strategy reduces transition risks during digital transformation. Moreover, it strengthens competitiveness in global markets. AI integration becomes a practical upgrade path rather than a disruptive change.Overall, Comau demonstrates how industrial experience and artificial intelligence can work together. Consequently, the company positions AI as a long-term enabler of productivity, quality, and innovation in industrial automation.
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New ANSI/A3 R15.06-2025 Standard Strengthens Industrial Robot Safety in Automation

11 Mar
29

New ANSI/A3 R15.06-2025 American National Standard for Industrial Robot Safety Now Available for Purchase New ANSI/A3 R15.06-2025 American National Standard for Industrial Robot Safety Now Available for Purchase

Major Update to Industrial Robot Safety Standards

The Association for Advancing Automation (A3) has published the ANSI/A3 R15.06-2025 standard, defining safety requirements for industrial robots and robot systems. This revision represents the most significant update in over a decade, impacting manufacturers, integrators, and operators worldwide. The new standard emphasizes safety in factory automation while supporting advanced PLC, DCS, and control systems integration.

Comprehensive Safety Requirements for Robots and Applications

ANSI/A3 R15.06-2025 now includes three core parts:
  • Part 1: Safety requirements for industrial robots
  • Part 2: Safety requirements for robot applications and robot cells
  • Part 3: Safety requirements for robot cell users (coming later in 2025, provided free to early purchasers)
By integrating ISO 10218 Parts 1 and 2, this standard ensures alignment with international industrial automation norms. Therefore, companies can confidently implement robots while maintaining compliance with global safety benchmarks.

Key Enhancements for Modern Automation Systems

The updated standard introduces several advancements:
  • Clarified functional safety requirements for easier compliance
  • Guidance for collaborative robots based on ISO/TS 15066
  • Expanded coverage of end-effectors and manual load/unload procedures
  • Updated robot classifications with clear safety functions and test methods
  • Cybersecurity guidance integrated into safety planning
  • Refined terminology, replacing “safety-rated monitored stop” with “monitored standstill”
These updates help engineers and integrators design and operate PLC and DCS-based robot systems more safely, reducing workplace risk without hindering productivity.

Expert Insights from A3 Leadership

Jeff Burnstein, president of A3, emphasizes that this standard protects millions of industrial workers globally. Carole Franklin, A3’s director of robotics standards, notes that the revision provides clearer guidance and smarter classifications. In practice, these improvements enable safer robot deployment, reduce operational errors, and support intelligent automation innovation in manufacturing environments.

Availability and Access for Industry Professionals

ANSI/A3 R15.06-2025 is now available for purchase globally through the A3 Standards online store, starting at $655 USD. The standard is provided in a protected PDF format, and companies purchasing it now will receive Part 3 updates once published. Early adoption allows manufacturers and integrators to implement cutting-edge safety measures immediately.

About the Association for Advancing Automation (A3)

A3 promotes industrial automation technologies and solutions globally. Its members include over 1,400 manufacturers, system integrators, component suppliers, academic institutions, and consulting firms. A3 hosts key industry events, such as the Humanoid Robot Forum, FOCUS: Intelligent Vision & Industrial AI Conference, International Robot Safety Conference, A3 Business Forum, and Automate. These events provide networking, training, and insights into cutting-edge factory automation technologies.

Author Insight: Why Updated Safety Standards Matter

As collaborative robots and intelligent automation systems become prevalent, safety compliance becomes increasingly critical. Implementing ANSI/A3 R15.06-2025 ensures operators can integrate PLC and DCS control systems without compromising human safety. Companies adopting the standard gain measurable benefits in operational reliability, workforce protection, and regulatory compliance. From my perspective, early adoption also positions manufacturers to lead in industrial automation innovation responsibly.

Application Scenarios and Use Cases

  • Collaborative Robot Cells: Apply Part 2 guidance for safe human-robot collaboration in assembly lines.
  • Factory Automation Integration: Ensure PLC, DCS, and robot software interfaces meet updated functional safety requirements.
  • End-Effector Operations: Implement safe manual load/unload processes aligned with ISO/TR 20218.
  • Cybersecurity Planning: Integrate safety and cybersecurity strategies for connected industrial robots.
  • Operator Training Programs: Use updated terminology and classifications to train personnel effectively in safe robot operations.
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Copia Automation Partners with Danieli Automation DIGI&MET to Transform Industrial Automation Workflows

10 Mar
33

Copia Automation Partners With Danieli Automation DIGI&MET to Drive Industrial DevOps Innovation Globally Copia Automation Partners With Danieli Automation DIGI&MET to Drive Industrial DevOps Innovation Globally

Strategic Industrial Automation Partnership

Copia Automation has formed a strategic partnership with Danieli Automation DIGI&MET to implement advanced industrial DevOps solutions. This collaboration spans operations in Italy and the United States. The partnership aims to enhance operational efficiency, reduce downtime, and drive innovation across Danieli’s metal manufacturing facilities. Industrial automation experts see this as a significant move toward integrating DevOps practices into factory automation and control systems.

Streamlining Automation Workflows with Industrial DevOps

Copia’s Industrial DevOps platform allows Danieli to centralize and streamline automation workflows. By unifying PLC, DCS, and other control system software management, teams can collaborate more effectively and deploy updates faster. Moreover, the platform’s governance features ensure consistent quality and regulatory compliance, which is crucial for international operations. As a result, manufacturers can achieve higher uptime and reduce the risk of operational disruptions.

Driving Innovation Across Global Operations

Danieli emphasizes a culture of innovation, captured in their motto: “Innov-Action to be a step ahead in CapEx and OpEx.” By adopting Copia’s platform, Danieli enhances its ability to innovate in plant design, commissioning, and service. Stefano Martinis, CEO of Danieli Automation DIGI&MET, highlighted that the platform will support digital transformation and promote collaboration among global teams. From a practical perspective, such tools accelerate development cycles and optimize control system integration in large-scale industrial plants.

Enhancing Agility and Operational Control

Adam Gluck, founder and CEO of Copia Automation, noted that the partnership reinforces shared commitments to technology leadership. Copia’s platform provides real-time visibility into automation code across multi-vendor devices. In practice, this empowers engineers to monitor PLC and DCS configurations, preemptively address potential issues, and maintain operational consistency. Such capabilities are increasingly critical as factories adopt more sophisticated automation and robotics solutions.

Compliance and Cloud-Based Industrial Automation

Danieli will leverage Copia’s EU Cloud infrastructure, ensuring optimal performance and regulatory compliance, including NIS2 requirements. Cloud-enabled DevOps platforms allow industrial operators to maintain centralized control over distributed systems while adhering to regional data standards. For engineers, this reduces the administrative burden and provides a secure framework for scaling automation projects globally.

About Copia Automation

Copia Automation provides a cloud-based Industrial DevOps platform that manages operational technology efficiently. The platform supports quality control, automated backups, AI-assisted monitoring, and real-time performance insights. By combining industrial automation expertise with AI-powered features like Copia Copilot, the platform enhances uptime, operational reliability, and process consistency.

About Danieli Automation DIGI&MET

With over five decades in the metals industry, Danieli Automation delivers end-to-end solutions, from plant automation and electrical distribution to advanced robotics and operator-friendly systems. Their patented induction heating and melting furnace electrification solutions reduce CO2 emissions while optimizing production efficiency. Globally distributed branches in EMEA, the Americas, and Asia ensure resilient project execution and reliable after-sales support.

Author Insight: Why Industrial DevOps Matters

Industrial DevOps is emerging as a critical enabler for smart manufacturing. Integrating DevOps principles with factory automation allows companies to accelerate software deployments, improve PLC/DCS reliability, and implement proactive maintenance. Manufacturers who adopt such practices gain measurable advantages in uptime, production efficiency, and innovation capacity. This partnership highlights how DevOps can transform traditional industrial operations into agile, data-driven, and highly efficient factories.

Application Scenarios and Use Cases

  • Global Plant Management: Streamline PLC and DCS code across multiple sites with consistent version control.
  • Predictive Maintenance: Use automated monitoring to anticipate equipment failures and reduce downtime.
  • Sustainability Programs: Integrate energy-efficient control strategies and minimize CO2 emissions in metals production.
  • Digital Twin & Simulation: Deploy cloud-based digital twins to test automation changes before implementation.
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Digital Twin Innovation Meets Industrial Automation: 2025 iTwin4Good Challenge Highlights Sustainable Infrastructure Solutions

06 Mar
23

Bentley Systems, Enactus Announce Winner of the 2025 iTwin4Good Challenge Bentley Systems, Enactus Announce Winner of the 2025 iTwin4Good Challenge

Digital Twin Technology Drives Innovation in Industrial Automation

Digital twin technology continues to reshape industrial automation and infrastructure management. Recently, Bentley Systems and Enactus announced the winners of the 2025 iTwin4Good Challenge, a global student competition focused on solving sustainability challenges through digital innovation.The event brought together university teams from the United States, Germany, Canada, the United Kingdom, Ireland, and Brazil. Participants used advanced engineering tools and digital twin platforms to design solutions for environmental and infrastructure problems.Digital twins play a growing role in modern control systems and factory automation. By creating virtual models of real assets, engineers can monitor performance, predict failures, and optimize operations. As a result, industries such as energy, construction, and manufacturing increasingly rely on these technologies.

How Digital Twin Platforms Support Modern Control Systems

The iTwin4Good Challenge encouraged students to apply digital twin tools to real infrastructure issues. These platforms integrate data from sensors, IoT devices, and industrial control systems such as PLC and DCS environments.Moreover, digital twins allow engineers to simulate operational conditions before implementing changes in physical systems. This approach improves safety, reduces waste, and lowers operational costs.Bentley Systems, founded in 1984, develops engineering software widely used in transportation, water management, and energy infrastructure. Through its digital twin ecosystem, the company helps organizations transform engineering data into operational insights.Therefore, competitions like iTwin4Good help connect academic research with real-world industrial automation applications.

SiTESalvage Wins the 2025 iTwin4Good Challenge

The first-place team, SiTESalvage from the United Kingdom and Ireland, addressed construction and demolition waste. According to World Bank estimates, global solid waste exceeds 2.24 billion tons each year. Building projects generate nearly 40 percent of this waste.To tackle this issue, the team designed a digital twin–powered marketplace platform. The system uses iModels to visualize upcoming demolition projects and identify reusable materials.Consequently, contractors and recycling partners can plan material recovery before demolition begins. This approach reduces landfill waste and promotes a circular construction economy.From an industrial automation perspective, such platforms could integrate with building management systems and asset monitoring tools. This integration improves project planning and resource efficiency.

Basola Develops Smart Plastic-to-Fuel Technology

The runner-up team from Germany, Basola, focused on plastic waste recycling. They created a solar-powered pyrolysis reactor capable of converting discarded plastics into usable fuel.The team combined IoT sensors with digital twin technology to monitor reactor performance in real time. This setup allows operators to detect anomalies, schedule maintenance, and ensure safe operation.In industrial environments, similar monitoring architectures already exist within DCS and PLC-based control systems. By integrating digital twin analytics, operators can enhance predictive maintenance and process optimization.Moreover, renewable energy integration with waste management technologies supports global decarbonization goals.

EcoTwins Explores Renewable Energy Deployment on Abandoned Mines

The second runner-up team, EcoTwins from Canada, explored how abandoned gold mine sites could support renewable energy development.Their project analyzed environmental, technical, and social indicators to determine whether these locations could host solar or wind energy facilities. Using digital twin simulations, the team assessed site performance and potential land-use conflicts.Repurposing former mining sites offers several advantages. These locations already have infrastructure access and limited residential impact. Therefore, renewable energy developers can accelerate project deployment while minimizing environmental disruption.In addition, digital twin simulations allow engineers to evaluate power generation scenarios before construction begins.

Industry Leaders Highlight the Role of Student Innovation

Chris Bradshaw, Chief Sustainability and Education Officer at Bentley Systems, praised the creativity shown by participating teams. He noted that digital twin technology can help infrastructure professionals design more sustainable systems.George Tsiatis, President and CEO of Enactus Global, emphasized the importance of entrepreneurial thinking in solving global challenges. According to him, students increasingly combine technology, sustainability, and business innovation.These perspectives reflect a broader industry trend. Today’s infrastructure and industrial automation sectors increasingly rely on digital tools to improve efficiency and environmental performance.

Author Insight: Digital Twins and Industrial Automation Are Converging

From an industrial automation standpoint, the concepts demonstrated in the iTwin4Good Challenge mirror real trends in modern factories.Manufacturers already deploy PLC controllers, distributed control systems, and advanced SCADA platforms to monitor equipment. However, digital twins extend this capability further.A digital twin can simulate an entire production line, energy facility, or infrastructure system. Engineers can test process changes without risking operational disruptions.Therefore, digital twin technology may soon become a standard layer above traditional control systems in smart factories and smart cities.

Practical Application Scenario: Smart Infrastructure and Factory Automation

Digital twin technology already supports several industrial use cases:Smart factories can integrate digital twins with PLC-based automation systems to simulate production lines.Energy facilities can monitor turbines, pipelines, and renewable plants using real-time digital models.Infrastructure operators can optimize bridges, transportation networks, and water systems through predictive analytics.Waste management plants can deploy automated monitoring and digital simulation to improve recycling processes.In these environments, digital twins act as a decision-support platform for engineers and plant operators.

Conclusion: Digital Innovation Is Shaping the Future of Infrastructure

The 2025 iTwin4Good Challenge demonstrates how digital twin platforms can address real environmental and infrastructure challenges.More importantly, it highlights the role of the next generation of engineers and innovators. By combining sustainability thinking with advanced digital tools, they create practical solutions for complex global issues.For professionals in industrial automation, this trend signals an important shift. Future control systems will likely integrate PLC automation, IoT sensors, and digital twin analytics into unified operational platforms.Organizations that adopt these technologies early will gain stronger operational insight and long-term sustainability advantages.
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CMC Networks Appoints Mahesh Jaishankar as Managing Director to Accelerate AI-Driven Connectivity Across Africa

06 Mar
25

CMC Networks Appoints Mahesh Jaishankar as Managing Director to Drive Growth of AI-Powered Connectivity Across Africa CMC Networks Appoints Mahesh Jaishankar as Managing Director to Drive Growth of AI-Powered Connectivity Across Africa

 

Leadership Transition Strengthens Digital Infrastructure Strategy

CMC Networks, a major connectivity provider in Africa, has appointed Mahesh Jaishankar as Managing Director. The company operates as a subsidiary of center3 and focuses on advanced networking services.Jaishankar will lead the company’s next growth phase in AI-powered connectivity. Moreover, he will strengthen regional operations across Africa and the Middle East.He succeeds Marisa Trisolino, who previously served as CEO until April 2025. The leadership change signals a strategic focus on intelligent network infrastructure and digital transformation.

Experienced Technology Executive with Global Industry Background

Mahesh Jaishankar brings more than 25 years of experience in digital infrastructure and telecommunications leadership.Before joining CMC Networks, he served as an advisor at Arthur D. Little. In addition, he worked at Google as Head of Strategic Negotiations within the Global Network Access division.Earlier in his career, Jaishankar played a key role in launching datamena while working at du. The platform later became a major regional connectivity hub linking the Middle East and Africa.Under his leadership, datamena attracted hyperscalers, OTT platforms, telecommunications carriers, and large enterprises. As a result, it became a global gateway for digital traffic between major regions.

AI-Driven Network Infrastructure Supports Industrial Automation

Modern digital infrastructure supports the rapid growth of industrial automation and smart manufacturing.Industrial facilities increasingly depend on secure and reliable connectivity. Systems such as PLC controllers, DCS platforms, and SCADA networks require stable communication infrastructure.Therefore, advanced network services help companies deploy factory automation, remote monitoring, and predictive maintenance technologies.AI-powered connectivity platforms also improve operational reliability. For example, network analytics can detect anomalies that affect industrial control systems.Consequently, intelligent connectivity becomes essential for energy plants, manufacturing facilities, and large infrastructure projects.

center3 Acquisition Accelerates AIOps Innovation

center3 completed its acquisition of CMC Networks in June 2024. Since then, the company has increased investment in Artificial Intelligence for IT Operations, also known as AIOps.AIOps platforms use machine learning to analyze network traffic and system behavior. These tools automatically detect faults, predict outages, and optimize network performance.Moreover, AI-driven operations reduce downtime in mission-critical digital infrastructure. This capability is particularly important for enterprises operating in remote or complex markets.CMC Networks currently operates across 62 markets in Africa and the Middle East. Its regional expertise spans more than 35 years of connectivity operations.

Industry Leaders Highlight Strategic Importance of AI Connectivity

Fahad Alhajeri, CEO of center3 and chairman of CMC Networks, emphasized the strategic importance of the appointment.He noted that Jaishankar’s experience with hyperscalers, carriers, and enterprise networks makes him well suited for the role.According to Alhajeri, CMC Networks will strengthen its leadership in intelligent connectivity across emerging markets.Jaishankar also expressed enthusiasm about the opportunity. He highlighted Africa’s rapidly growing digital economy and the increasing demand for scalable connectivity infrastructure.He stated that collaboration with partners and customers will drive innovation across the region’s digital ecosystem.

Author Insight: Connectivity Infrastructure Enables Smart Industry

From an industrial technology perspective, network infrastructure increasingly supports automation and digital engineering.Smart factories rely on stable connectivity to integrate PLC controllers, edge computing platforms, and industrial IoT devices.Moreover, energy utilities and transportation networks require secure data exchange between distributed control systems.Therefore, investments in AI-powered connectivity can accelerate digital transformation across industrial sectors.Companies that combine networking innovation with operational expertise will likely lead the next wave of infrastructure development.

Application Scenario: Intelligent Connectivity in Industrial Environments

AI-driven connectivity solutions support several real-world industrial scenarios.Manufacturing plants rely on high-performance networks to connect PLC systems and robotics controllers.Oil and gas facilities deploy secure communication networks for distributed control systems and monitoring equipment.Energy utilities integrate network analytics with SCADA platforms to improve operational visibility.In addition, large infrastructure projects use SD-WAN and MPLS networks to support digital engineering collaboration.Reliable connectivity therefore becomes a foundational layer for modern industrial automation and factory digitalization.

About CMC Networks

CMC Networks specializes in delivering high-performance connectivity services in complex global markets.The company combines regional expertise with AI-based network operations. It has served customers across Africa and the Middle East for more than 35 years.CMC Networks offers a wide range of connectivity services, including DIA, MPLS, SD-WAN, Ethernet, satellite communications, and Infrastructure-as-a-Service.Today, the company supports enterprise connectivity across 62 markets throughout the Middle East and Africa.

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FieldComm Group and FDT Group Merge to Accelerate Unified Device Integration for Industrial Automation

04 Mar
34

Unified Device Integration Roadmap Solidified Following FieldComm Group and FDT Group Business Combination Unified Device Integration Roadmap Solidified Following FieldComm Group and FDT Group Business Combination

AUSTIN, Texas – Following the business combination of FieldComm Group and FDT Group, the Strategic Integration Committee (SIC) has finalized the roadmap for the updated Field Device Integration (FDI) Specification. This milestone marks a major step toward unifying device integration across process, hybrid, and factory automation systems.

Coordinated Efforts Drive Harmonization of FDI and FDT Technologies

After acquiring FDT/DTM assets in 2024, FieldComm Group intensified efforts to standardize device integration. The SIC, including industry-leading automation suppliers and Standards Development Organizations (SDOs) such as OPC Foundation, ODVA, and PROFIBUS & PROFINET International (PI), has harmonized FDI and FDT standards. This collaboration aims to deliver a scalable, intuitive solution for industrial automation control systems.

Key Enhancements in the Updated FDI Specification

The new FDI Specification introduces several important improvements:

  • Compliance with the Cyber Resilience Act (CRA)

  • Unified integration standard for both process and factory automation

  • Support for legacy systems, allowing upgrades without replacing infrastructure

  • Real-time OT/IT connectivity using the PA-DIM common information model

  • Compatibility with modern platforms and development tools

  • Intelligent device lifecycle management, including protocol tunneling for nested communications

These updates will allow engineers and system integrators to simplify device configuration while enhancing operational efficiency.

Implementation Timeline for the FDI Migration

FieldComm Group has defined clear milestones for adoption:

  • End of 2026: Release of the updated FDI Specification

  • End of 2027: Availability of the updated FDI Developer Toolkit

  • 2029: Market release of registered FDI-enabled devices and systems

This phased approach provides manufacturers with a practical migration path, protecting existing investments while enabling modern, interoperable PLC and DCS systems.

Industry Leaders Endorse the Unified Device Integration Approach

Steve Biegacki, SIC chair, emphasized, “Modern industrial systems are complex, yet interoperability must remain seamless. Our unified FDI solution ensures OT/IT data integration while supporting innovation.”

Stefan Hoppe, OPC Foundation president, added, “We support harmonizing FDI and FDT technologies to ensure robust device integration for OPC UA users.” Similarly, ODVA and PI leadership acknowledged the initiative’s importance for EtherNet/IP and PROFINET users.

Driving Smarter Manufacturing with Unified Integration

The updated FDI specification enables intelligent, responsive automation operations, unlocking the value of industrial data. Manufacturers can leverage unified device integration to improve efficiency, reduce downtime, and enable predictive maintenance. Moreover, standardized connectivity simplifies integration across control systems in hybrid factory environments.

About FieldComm Group

FieldComm Group is a global, nonprofit standards organization advancing industrial automation through open, interoperable technologies. Founded in 2015, it unites end users, manufacturers, service providers, universities, and research institutions. The organization supports standards such as HART, WirelessHART, HART-IP, FOUNDATION Fieldbus, FDI, FDT/DTM, PA-DIM, and Ethernet-APL, ensuring reliable and actionable industrial data across sectors.

Application Scenarios

  • Process automation: Simplified device integration in chemical and pharmaceutical plants

  • Factory automation: Unified FDI standard streamlines PLC and DCS configurations

  • Hybrid systems: Efficient OT/IT data exchange for smart manufacturing

  • Modernization: Upgrading legacy devices without replacing entire infrastructure

By adopting the updated FDI specification, industrial operators can achieve higher interoperability, reduce engineering effort, and future-proof automation systems.

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