State of Industrial Media: 2022 and Beyond

THOMAS R. CUTLER | August 29, 2022 | 526 views

Lew Weiss, founder of Jacket Media Co, host of Manufacturing Talk Radio and publisher of Manufacturing Outlook.

No longer is content consumed as a form of education, professional development, or comparative analysis. Solution-seekers perform a Google Search, find matches based on the algorithms of search engine optimized rankings. There is no triangulation. Top ten rankings constitute information gathering, little else. Out of sight, out of mind.

This is neither good nor bad; it is. In this vast media paradigmatic shift, survivors of the media miasma live by the maxim: eat or be eaten. Many in the media have failed to look ahead. Many keep running content that could have been authored twenty years ago. No contemporaneous insights, contexts, or prognostication are offered. Just more of the same.

 

State of Industrial Media: 2022 and Beyond

Thomas R. Cutler, who founded the 9000+ member Manufacturing Media Consortium in 1999 and has authored more than 8000 articles in that time span; he has been working with Jacket Media Co for some time as a regular contributor to our most popular publication Manufacturing Outlook. Cutler brainstormed with me and contributed to the report which follows. Tom has seen all the media shifts, the transition to conference content, webinars, YouTubes, and yes, TikTok.

Balancing media coverage: forward thinking and providing a microphone

Profitable media outlets including Jacket Media Co must balance the editorial trendspotting with those of paid sponsors, content contributors, and podcast hosts and guests.

State of Industrial Media: 2022 and Beyond

The function of marketing has changed. It used to be building brand and product awareness and acquiring lead generation, particularly through digital and traditional methodologies. The marketing role is far more engaged in the industrial complex responsible for bottom line growth as an integral part of the “sales AND marketing” effort.  Salespeople are rarely responsible for following up with prospects except via LinkedIn or those about to issue a purchase order in 90 days. They are bonused and rewarded on closed activities, not advancing the longer-term sales pipeline.

Even when a PR firm is engaged, 90% of these firms have no prior relationships with members of the Manufacturing Media Consortium and are therefore pitching. Cutler reports that 100% of editorial pitches are summarily discarded when sent from an unknown source.  Alternatively, those emails get sent to advertising or sponsorship departments to sell revenue generating space. Without the prior relationships and without successful demonstration of content creation by a PR firm, it is a waste of time and money. Anyone can pitch a story, few know the culture of the publications, the readers, and the editors’ expectations. This is where expertise in content creation, succinct and precise communication, and dynamic storytelling become a paramount function whether handled internally or externally by a PR firm. 

The media kit is dead (or should be)

The fluidity of world events makes the media kit anachronistic. Two years ago, few spoke about supply chain disruption, Ukraine, oil prices, inflation, the great resignation, cybersecurity challenges, and high-level robotics. Now those topics are omnipresent. Any media calendar that was prepared in Fall of 2021 would have missed all these topics.

All editorial has multiple purposes for the reader, the publishers, and the company (paying sponsor). Ultimately, most want to know how manufacturers succeeding now and can improve moving forward. To state the obvious, potential disruptions to industrial business operations keep growing every day. There is (and will continue to be) a shortage of skilled workers. Risks are rising and difficult to mitigate. Supply chain disruptions are coming from all sides (promulgating the conversation of nearshoring).

And still these best-practice operations are failing to tell their stories. They are failing to profile their leaders, and they are failing to use the new media methodologies that all GenZers have grown up with and utilize for hours a day. This failure to connect with the new generation of communication portends a dismal outlook without immediate corrective action.

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Industrial 4.0, IoT

Harnessing IIoT Power for Device Interconnectivity in Industry 4.0

Article | July 21, 2023

Embracing IIoT & device interconnectivity offers enhanced operational efficiency, predictive maintenance, data-driven insights, improved quality, optimized supply chains, enhanced safety, & security. Contents 1. Introduction to IIoT and Device Interconnectivity in Industry 4.0 2. Advanced Sensing and Data Collection 2.1. Industrial Sensors and IoT-enabled Devices 2.2. Real-time Data Collection and Analysis 2.3. Edge Computing for Faster Decision-Making 3. Connectivity Technologies for Device Interconnectivity 3.1. Wireless Technologies: Wi-Fi, Bluetooth, and Cellular Networks 3.2. Low-Power Wide Area Networks (LPWAN) 3.3. Industrial Ethernet and Fieldbus Protocols 4. Benefits of Efficient Device Interconnectivity 4.1. Enhanced Operational Efficiency 4.2. Real-time Monitoring and Control 4.3. Predictive Maintenance 4.4. Data-driven Insights 4.5. Supply Chain Optimization 5. Embracing IIoT for Device Interconnectivity in Industry 4.0 1. Introduction to IIoT and Device Interconnectivity in Industry 4.0 The Industrial Internet of Things (IIoT) is a network of interconnected devices, sensors, and systems that collect and exchange data in industrial settings. IIoT industry 4.0 enables real-time data monitoring, analysis, and control, leading to improved operational efficiency, reduced costs, and increased productivity in industrial processes. It utilizes technologies such as IoT sensors, embedded systems, cloud computing, big data analytics, and machine learning to facilitate seamless connectivity and data exchange. Device interconnectivity in Industry 4.0 is the integration and communication between different devices, machines, and systems across the industrial value chain. Device interconnectivity enables data sharing and interoperability, facilitating automation, predictive maintenance, optimized resource allocation, and enhanced decision-making in industrial IoT operations. IIoT and device interconnectivity generate vast amounts of data that can be analyzed to gain valuable insights into production processes, supply chains, customer behavior, and market trends. The increased interconnectivity of devices in Industry 4.0 raises concerns about data security and privacy. Robust cybersecurity measures and data protection protocols are necessary to mitigate risks. This creates new business opportunities, including innovative service models, predictive maintenance solutions, remote monitoring, and data-driven decision support systems, with applications in various industries such as smart manufacturing, energy, transportation, agriculture, healthcare, and smart cities. 2. Advanced Sensing and Data Collection 2.1. Industrial Sensors and IoT-enabled Devices Industrial sensors are sophisticated devices that employ cutting-edge technologies to detect and measure various physical parameters in industrial environments. They utilize advanced sensing technologies such as optical, acoustic, thermal, and chemical sensors to capture precise and accurate data. Whereas, IoT-enabled devices, integrated with industrial sensors, leverage the power of connectivity and advanced communication protocols to enable seamless data collection and exchange. These devices have embedded software, wireless connectivity, and data processing capabilities, transforming them into intelligent nodes within the Industrial Internet of Things ecosystem. These empower businesses to capture real-time data at a granular level. This provides organizations to gain comprehensive insights into their assets, processes, and environments' performance, health, and condition. Such data-driven intelligence forms the foundation for advanced analytics, predictive maintenance, and operational optimization. 2.2. Real-time Data Collection and Analysis With integrating IIoT sensors, businesses can collect data in real time from diverse sources within their industrial ecosystem. This includes sensor readings, machine parameters, environmental conditions, production metrics, and supply chain information. This allows businesses to continuously monitor their operations, providing immediate awareness of critical events and performance indicators. By capturing data in real-time, organizations can swiftly identify anomalies, deviations, or opportunities for improvement, for agile decision-making, operational responsiveness, and proactive interventions. Real-time data collected from industrial sensors and IoT-enabled devices can be subjected to advanced analytics and machine learning algorithms. These sophisticated analysis techniques reveal hidden patterns, correlations, and predictive models within the data. The resulting insights enable organizations to uncover optimization opportunities, identify root causes of issues, and develop data-driven strategies for operational excellence. 2.3. Edge Computing for Faster Decision-Making Edge computing is an advanced paradigm that brings data processing, analytics, and decision-making closer to the data source at the network's edge. By decentralizing computational capabilities, edge computing reduces latency, minimizes bandwidth requirements, and enables faster, localized decision-making. It enhances the efficiency and responsiveness of data-driven decision-making in industrial settings. Businesses can achieve near real-time insights and rapid response times by processing and analyzing data locally, at or near the edge IoT devices. This is particularly critical for time-sensitive applications like autonomous systems, predictive maintenance, and adaptive control mechanisms. Edge computing empowers businesses to make faster decisions based on real-time data analysis. Edge computing enables localized processing and immediate responses by reducing the need for data transmission to a centralized cloud or data centers. This allows organizations to take swift actions, optimize processes on the fly, and mitigate risks in real time. 3. Connectivity Technologies for Device Interconnectivity 3.1. Wireless Technologies: Wi-Fi, Bluetooth, and Cellular Networks Wi-Fi, Bluetooth, and cellular networks widely use wireless connectivity technologies that enable device interconnectivity in various industrial settings. Wi-Fi provides high-speed wireless connectivity over short to medium distances. Wi-Fi offers flexibility and compatibility with various devices, making it a popular choice for interconnecting devices within industrial environments. Bluetooth technology is commonly used for short-range wireless connections between devices, for personal area networks (PANs) and device-to-device communication applications. Cellular networks, such as 4G LTE and emerging 5G technology, provide wide-area coverage and reliable connectivity over large distances. They are suitable for IoT applications that require remote monitoring, asset tracking, and connectivity in remote or mobile industrial environments. 3.2. Low-Power Wide Area Networks (LPWAN) LPWAN technologies are designed to provide long-range wireless connectivity while consuming minimal power. These networks are well-suited for applications involving low data rates, long battery life, and cost-effective deployment. NB-IoT (Narrowband IoT) is a cellular-based LPWAN technology that operates on licensed spectrum, providing wide-area coverage with low power consumption, while Long Range Wide Area Network (LoRaWAN ) is a low-power, long-range wireless technology that operates on unlicensed spectrum and enables efficient connectivity for devices spread across large areas, making it suitable for IoT applications such as smart agriculture, logistics, and smart cities. 3.3. Industrial Ethernet and Fieldbus Protocols Industrial Ethernet refers to the use of Ethernet-based communication protocols within industrial environments. It provides high-speed, reliable, and deterministic connectivity for industrial devices, such as programmable logic controllers, human-machine interfaces, and sensors. Industrial Ethernet protocols like Ethernet/IP, PROFINET, and Modbus TCP enable real-time data exchange, control, and monitoring, facilitating efficient device interconnectivity in industrial automation systems. Fieldbus protocols have been widely used in industrial automation for device interconnectivity. It enables data communication between field devices, controllers, and other industrial equipment. These protocols are known for their robustness, determinism, and support for various devices, making them suitable for applications in process control, IIoT manufacturing, and distributed control systems. 4. Benefits of Efficient Device Interconnectivity 4.1. Enhanced Operational Efficiency Efficient device interconnectivity revolutionizes industrial processes by facilitating seamless communication and collaboration among interconnected devices, machines, and systems. This integration optimizes workflows, reduces bottlenecks, and maximizes operational efficiency, ultimately improving productivity and profitability. 4.2. Real-time Monitoring and Control The efficient interconnection of devices gives businesses real-time visibility into their operations. By continuously monitoring and controlling key parameters such as machine performance, energy consumption, and production metrics, organizations can proactively make data-driven decisions to optimize performance, minimize downtime, and ensure optimal resource allocation. 4.3. Predictive Maintenance Efficient device interconnectivity enables the collection and analysis of real-time data from interconnected devices. Businesses can detect patterns and anomalies by leveraging advanced analytics and machine learning algorithms, allowing for predictive maintenance strategies. Proactively addressing maintenance needs and potential equipment failures reduces unplanned downtime, enhances equipment lifespan, and lowers maintenance costs. 4.4. Data-driven Insights Efficient device interconnectivity generates abundant data that holds valuable insights. Organizations can extract actionable insights from the collected data through sophisticated data analytics techniques, including artificial intelligence and big data analytics. These insights empower businesses to optimize processes, uncover hidden patterns, identify market trends, and make informed strategic decisions. 4.5. Supply Chain Optimization Device interconnectivity facilitates seamless data exchange and collaboration across the supply chain. This enables end-to-end visibility, efficient coordination, and streamlined operations. With real-time data on demand, inventory levels, and market demand, businesses can optimize their supply chain processes, minimize lead times, reduce stockouts, and enhance overall supply chain efficiency in IIoT Industry 4.0. 5. Embracing IIoT for Device Interconnectivity in Industry 4.0 In the era of Industry 4.0, businesses are embracing the integration of the IIoT industry 4.0 and device interconnectivity to unlock new levels of efficiency, productivity, and agility. This is made possible through various connectivity technologies, including wireless technologies like Wi-Fi, Bluetooth, and cellular networks, as well as LPWAN and industrial Ethernet and fieldbus protocols. These technologies enable seamless data exchange, real-time monitoring, and intelligent control within the industrial ecosystem. Additionally, embracing IIoT and device interconnectivity offers numerous advantages, such as enhanced operational efficiency, predictive maintenance, data-driven insights, improved product quality, optimized supply chains, enhanced safety, and security. By leveraging these advancements, businesses can drive sustainable growth and gain a competitive edge in the digital age of Industry 4.0.

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Industrial 4.0

The Transforming Landscape: Trends in Industry 4.0

Article | July 19, 2023

Unveil the game-changing trends in Industry 4.0 & redefine business operations. Stay ahead with current industry trends of the evolving digitalization and analyze the market trends’ insights. Contents 1. Introduction 2. How do the Trends in Industry 4.0 Benefit Businesses? 3. Factors Causing the Emergence of Industry 4.0 3.1. Technological Advancements 3.2. Increasing Digitalization 3.3. Changing Market Demands 3.4. Globalization and Competitive Pressures 3.5. Need for Operational Efficiency 3.6. Sustainability and Environmental Concerns 3.7. Workforce Challenges 4. Top Trends in Industry 4.0 4.1. Green Technology 4.2. Digitalization of Data 4.3. Predictive Analytics 4.4. Optimal Energy Usage 4.5. 3D Printing 4.6. Smart Manufacturing 4.7. Next-Gen Manufacturing ERP 4.8. Supply Chain Disruption 4.9. Extreme Automation capabilities 4.10. Increased Visibility 5. Final Thoughts 1. Introduction Industry 4.0, the fourth industrial revolution, has brought about transformative changes across sectors, revolutionizing the way businesses operate and interact with technology. As we navigate this rapidly evolving landscape, staying informed about the latest trends shaping Industry 4.0 is essential. From artificial intelligence and robotics to blockchain and edge computing, these trends redefine processes, drive innovation, and create new opportunities for organizations. In this article, explore 10 key current industry trends in Industry 4.0 and their implications for businesses in this transforming landscape. 2. How do the Trends in Industry 4.0 Benefit Businesses? The trends in Industry 4.0 offer numerous benefits for businesses across various aspects of operations. Firstly, integrating automation, IoT, and data analytics drives increased efficiency and productivity. By streamlining processes and minimizing downtime, businesses can achieve higher productivity levels and faster time-to-market, ultimately reducing costs. Additionally, the availability of real-time data and advanced analytics enables businesses to make informed decisions, optimize resource allocation, and respond swiftly to market changes. Secondly, Industry 4.0 enhances flexibility and customization capabilities. With the ability to reconfigure production lines, adjust processes in real-time, and offer personalized products or services, businesses can meet customers' evolving demands and gain a competitive edge. Moreover, predictive maintenance facilitated by IoT sensors and data analytics enables companies to proactively monitor equipment health, reduce unplanned downtime, and optimize maintenance costs, improving operational efficiency and extending asset lifespan. Lastly, the trends in Industry 4.0 contribute to enhanced customer experience and sustainability goals. Businesses can improve customer satisfaction, loyalty, and retention by leveraging customer data and implementing personalized offerings, targeted marketing campaigns, and better customer support. Additionally, Industry 4.0 technologies enable companies to optimize energy consumption, reduce waste, and enhance resource efficiency, aligning with sustainability initiatives and bolstering brand reputation. 3. Factors Causing the Emergence of Industry 4.0 The factors causing the emergence of Industry 4.0 can be attributed to several key drivers: 3.1.Technological Advancements Rapid advancements in technologies such as the Internet of Things, artificial intelligence, cloud computing, big data analytics, and robotics have provided the foundation for Industry 4.0. These technologies have become more accessible, affordable, and capable, enabling widespread adoption in the industrial sector. 3.2.Increasing Digitalization Digitalizing processes, systems, and data has been a significant driver of Industry 4.0. As businesses realize the value of digitizing their operations, there is a growing demand for technologies that can seamlessly integrate and process vast amounts of data for improved decision-making and efficiency. 3.3.Changing Market Demands Evolving customer expectations, such as personalized products, shorter lead times, and flexible production, have pushed businesses to adopt Industry 4.0 technologies. Companies are embracing automation, connectivity, and data-driven approaches to remain competitive and meet these demands to enhance their agility and responsiveness. 3.4.Globalization and Competitive Pressures In an increasingly interconnected global economy, businesses face intense competition and the need to optimize their operations. Industry 4.0 offers opportunities for businesses to improve productivity, reduce costs, and gain a competitive edge by leveraging advanced technologies and data-driven insights. 3.5. Need for Operational Efficiency With rising production costs and the need to optimize resource utilization, businesses are turning to Industry 4.0 to enhance operational efficiency. Automation, predictive maintenance, and real-time monitoring enable enterprises to streamline processes, minimize downtime, and achieve higher productivity. 3.6. Sustainability and Environmental Concerns Industry 4.0 technologies allow businesses to adopt more sustainable practices. Companies can align with environmental goals and meet regulatory requirements by optimizing energy consumption, reducing waste, and improving resource efficiency. 3.7.Workforce Challenges The changing nature of work and the need to address labor shortages and skill gaps have also contributed to adopting Industry 4.0 technologies. Automation and robotics can augment human capabilities, improve workplace safety, and free up workers for more value-added tasks. 4. Top Trends in Industry 4.0 4.1. Green Technology Green technology is a prominent trend in Industry 4.0 manufacturing, aiming to incorporate sustainable practices and environmentally friendly solutions. This trend involves adopting renewable energy sources, such as solar and wind power, to reduce reliance on fossil fuels. Manufacturers also focus on energy efficiency using advanced monitoring systems and IoT devices to optimize energy consumption. Additionally, the concept of a circular economy is gaining momentum, encouraging waste reduction, resource utilization, and recycling. Manufacturers are developing eco-friendly materials and processes while collaborating with sustainability organizations to drive innovation in green technology. By integrating green technology, manufacturers can reduce their environmental footprint, comply with regulations, and meet consumer demands for sustainable products. Green technology is transforming the manufacturing sector in Industry 4.0, promoting sustainable practices and environmental consciousness. Manufacturers are embracing renewable energy, optimizing energy efficiency, and adopting circular economy principles. Developing eco-friendly materials and collaborations with sustainability organizations are also key aspects of this trend. By incorporating green technology into their operations, manufacturers can achieve ecological and economic benefits, positioning themselves as leaders in a greener and more sustainable future. 4.2. Digitalization of Data Digitalizing of manufacturing operations of data is a prominent trend in Industry 4.0 manufacturing, where companies are leveraging advanced technologies to transform data collection, industry trends analysis, and utilization. Manufacturers capture real-time data on various aspects of their operations by integrating IoT devices and sensors. This digital data provides valuable insights into machine performance, energy consumption, and product quality, allowing manufacturers to identify bottlenecks, optimize workflows, and enhance productivity. Digitalizing data enables manufacturers to employ advanced analytics and machine learning algorithms to uncover patterns and trends, enabling predictive maintenance, process optimization, and cost savings. An essential component of digitalizing data is the concept of digital twins. Manufacturers are creating virtual replicas of their physical products or production lines continuously updated with real-time data. This digital representation also enables remote monitoring and control, facilitating proactive maintenance and reducing downtime. By embracing the digitalization of data, manufacturers can unlock new levels of efficiency, productivity, and innovation, driving their success in the Industry 4.0 era. 4.3. Predictive Analytics Predictive analytics is a prominent trend within Industry 4.0 manufacturing, revolutionizing the way companies make decisions and optimize their operations. By leveraging advanced analytics techniques and machine learning algorithms, manufacturers can analyze vast amounts of data to forecast future outcomes and make proactive decisions. One key aspect of this trend is the application of predictive maintenance. Manufacturers can identify patterns and anomalies that indicate potential equipment failures by collecting and analyzing real-time data from sensors embedded in machinery. Predictive analytics allows manufacturers to optimize their production processes. Manufacturers can optimize parameters such as machine settings, material usage, and workflow sequences to achieve optimal production outcomes. Another crucial aspect of predictive analytics in Industry 4.0 manufacturing is demand forecasting. By analyzing historical data, machine learning algorithms can identify patterns and correlations that improve process efficiency, reduce waste, and enhance product quality. 4.4. Optimal Energy Usage Optimal energy usage is a significant trend within Industry 4.0 manufacturing, where companies are increasingly focused on optimizing energy consumption to enhance sustainability, reduce costs, and improve operational efficiency. Manufacturers aim to achieve optimal energy usage through advanced technologies and data-driven approaches throughout their production processes. One key aspect of this trend is the integration of smart sensors and Internet of Things devices to monitor energy usage in real-time. These devices collect data on energy consumption at various stages of production, allowing manufacturers to identify energy-intensive areas and potential inefficiencies. Machine learning algorithms can identify patterns and correlations between energy usage and other process variables, facilitating the development of energy-efficient strategies and optimizing production parameters. Moreover, integrating renewable energy sources is another crucial aspect of optimal energy usage in Industry 4.0 manufacturing. Companies can mitigate their carbon footprint and achieve long-term cost savings by reducing reliance on traditional fossil fuel-based energy sources. Integration with renewable energy sources also provides energy storage and demand response systems opportunities, further optimizing energy usage and supporting grid stability. 4.5. 3D Printing 3D printing is a significant trend within Industry 4.0 manufacturing, transforming how products are designed, prototyped, and manufactured. Also known as additive manufacturing, 3D printing allows companies to create three-dimensional objects by layering materials based on digital models. This trend offers numerous benefits, including faster production cycles, increased design flexibility, and cost-effective customization. One key aspect of the 3D printing trend is its ability to accelerate product development and prototyping. Manufacturers can convert digital designs into physical prototypes, allowing for rapid iterations and design improvements. Traditional manufacturing methods often impose limitations on design due to the constraints of molds, tooling, and assembly processes. 3D printing contributes to sustainability in manufacturing. It minimizes material waste by only using the necessary amount of materials, reducing energy consumption compared to traditional manufacturing methods. The ability to print components on-site or locally also lowers transportation costs and associated carbon emissions. Additionally, using recycled or bio-based materials in 3D printing further enhances its eco-friendly potential. 4.6. Smart Manufacturing Smart manufacturing is a prominent trend within Industry 4.0, revolutionizing the manufacturing sector by integrating advanced technologies to create more efficient, agile, and connected production systems. Smart manufacturing involves using Internet of Things devices, automation, artificial intelligence, and data analytics to optimize operations, enhance productivity, and drive innovation. One key aspect of smart manufacturing is the implementation of IoT devices and sensors throughout the production process. These devices collect real-time data on parameters such as machine performance, energy usage, and product quality. Smart manufacturing leverages automation and AI technologies to streamline production and improve efficiency. By automating repetitive tasks and integrating intelligent algorithms, manufacturers can optimize workflows, reduce human error, and achieve higher productivity levels. Moreover, smart manufacturing relies on data analytics and connectivity to enable seamless collaboration across the manufacturing ecosystem. Manufacturers can share real-time data with suppliers, partners, and customers, facilitating efficient supply chain management and enhanced coordination. 4.7. Next-Gen Manufacturing ERP Next-Generation Manufacturing ERP (Enterprise Resource Planning) systems are a significant trend within Industry 4.0 manufacturing, transforming the way companies manage their operations and resources. These advanced ERP systems incorporate cutting-edge technologies, such as cloud computing, artificial intelligence, and data analytics, to provide manufacturers with real-time visibility, enhanced decision-making capabilities, and seamless integration across the entire value chain. One key aspect of this trend is the adoption of cloud-based ERP solutions. By moving their ERP systems to the cloud, manufacturers can benefit from scalable and flexible infrastructure, reduced IT costs, and improved accessibility. Cloud-based ERP systems enable real-time data sharing and collaboration across departments, locations, and even with external partners. This fosters seamless integration of supply chain management, production planning, inventory control, and customer relationship management, enabling companies to make informed decisions, respond quickly to market changes, and optimize resource allocation. The next-gen Manufacturing ERP systems leverage artificial intelligence and data analytics to provide advanced insights and automation capabilities. 4.8. Supply Chain Disruption Supply chain disruption and the role of ERP (Enterprise Resource Planning) systems are significant trends within Industry 4.0 manufacturing. With the increasing complexity and globalization of supply chains, manufacturers face challenges such as natural disasters, geopolitical factors, and unexpected disruptions. In response, integrating ERP systems with supply chain management aims to enhance visibility, agility, and resilience in the face of disruptions. A vital aspect of this trend is using ERP systems to improve supply chain visibility. Manufacturers can quickly identify potential disruptions, assess their impact, and take necessary actions to minimize the effect on production and customer satisfaction. The ERP systems are increasingly equipped with advanced analytics capabilities to analyze supply chain data. Manufacturers can identify patterns, trends, and potential risks by leveraging AI and machine learning algorithms. Blockchain technology enables secure and transparent tracking of goods, ensuring traceability and reducing the risk of counterfeit products. These technologies, integrated with ERP systems, enhance supply chain visibility, accuracy, and trustworthiness. 4.9. Extreme Automation capabilities Extreme automation, also known as hyper-automation, is a prominent trend within Industry 4.0 manufacturing. This trend aims to maximize automation capabilities by pushing towards the hypothetical limit of 100% autonomy on the production floor, where operators and machines run fully automated processes. Manufacturers can achieve higher productivity and faster time-to-market by eliminating production delays and streamlining processes. Automation reduces errors and rework, improving product quality and customer satisfaction. Moreover, extreme automation frees the existing workforce from repetitive and mundane tasks, allowing employees to focus on higher-value activities and increasing overall throughput. According to data from Plataine's customer base, incorporating extreme automation in manufacturing significantly impacts cost reduction and production increase. Industrialization leads to lower operating costs by reducing labor requirements and minimizing errors that could result in waste. Additionally, by streamlining processes and optimizing resource allocation, extreme automation enables manufacturers to achieve higher production volumes and meet increasing market demands efficiently. 4.10. Increased Visibility Increased visibility capabilities are a significant trend within Industry 4.0 manufacturing, enabled by technologies like the Industrial Internet of Things. In the past, more visibility could have helped organizations comprehensively understand their operations, including the whereabouts of assets and the movement of resources. However, with the adoption of IIoT, manufacturers now have unprecedented visibility over their entire operations, providing real-time data and a 360-degree view of their organization. This heightened visibility empowers operational managers to monitor production processes in real time, identify manufacturing errors, and evaluate machine performance. With consolidated data reports, operational managers can make informed decisions to resolve issues causing delays and optimize production efficiency. By leveraging increased visibility, organizations can proactively address issues, minimize downtime, and stay ahead of the competition. The availability of real-time data and operational insights allows manufacturers to make agile and informed decisions, leading to improved productivity and customer satisfaction. 5. Final Thoughts The landscape of Industry 4.0 is undergoing a profound transformation, driven by emerging trends reshaping industries and revolutionizing business operations. The industry 4.0 trends 2023, discussed in this article, from artificial intelligence and robotics to blockchain and edge computing, are set to redefine the way organizations operate, innovate, and compete in the digital age. By embracing these trends, businesses can unlock new opportunities, enhance operational efficiency, and deliver better experiences to customers. As we move forward, staying abreast of these trends and proactively adopting them will be crucial for organizations to remain competitive and thrive in the ever-changing landscape of Industry 4.0. By leveraging the transformative power of these trends, organizations can position themselves at the forefront of innovation and create a sustainable advantage in this era of unprecedented technological advancement.

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Innovation, Industrial 4.0

Optimize Value Chain: Embrace Collaborative Platforms in Industry 4.0

Article | July 17, 2023

The curated list of platforms and industry 4.0 tools above, delves into simplification and enhancing of digitalized manufacturing processes. These value chain tools enhance the user experience. The advent of Industry 4.0 has revolutionized the way businesses operate, with technologies such as IoT, AI, and automation driving digital transformation across the entire value chain. In this dynamic landscape, collaborative platforms have emerged as powerful tools that enable organizations to optimize their value chain, fostering seamless collaboration and integration among stakeholders. In this article, know the significance of collaborative industry 4.0 software and the benefits they offer in optimizing the value chain. 1. PARCview PARCview is a powerful real-time manufacturing analytics software that empowers data-driven decision-making in manufacturing environment. It is a central hub for aggregating data from various sources such as machines, ERP, MES, and quality systems, providing valuable insights for continuous improvement. With flexible integration capabilities, it supports connectivity via multiple protocols. PARCview enables operators, engineers, and subject matter experts to troubleshoot process issues, visualize historical and real-time data, diagnose equipment problems, and predict process issues for proactive action. Its high-performance archive engine allows for fast retrieval of short-term and long-term data, ensuring efficient troubleshooting. The software also offers customizable dashboards and displays to monitor real-time equipment status and production KPIs. PARCview's Asset Hub also enables users to add context to raw data by creating digital assets and organizing tags by asset, facilitating quick information retrieval and resource comparison. 2. aPriori Digital Manufacturing Simulation Software One of the value chain tools, Digital Factories by aPriori enable manufacturers to identify and overcome obstacles in their production processes, ensuring smooth operations and avoiding delays. This software provides manufacturability analysis and directional costing, incentivizing design teams and engineers to incorporate manufacturing considerations early on, reducing engineering change orders and enabling timely product launches. With digital factories, sourcing teams can compare manufacturing environments based on various criteria, evaluate fully burdened manufacturing costs, and make informed site selection decisions. By leveraging extensive libraries of materials, machines, labor, and overhead costs, digital factories offer comprehensive simulations, process cycle time calculations, and manufacturability analysis, empowering companies to optimize their manufacturing practices. 3. Factbird Factbird is a revolutionary manufacturing intelligence solution simplifies data gathering and analysis for all manufacturers. With its comprehensive cloud-based application and edge devices, sensors, and cameras, Factbird streamlines data collection and converts it into actionable insights. Key features include built-in OEE calculations, production monitoring, video capture, historical data analytics, process and quality performance management, maintenance support, and utility consumption tracking. Factbird stands out from competitors' non-intrusive integration, rapid installation, real-time data access, scalability, and advanced data security. It offers pricing plans for different levels of functionality. Factbird empowers businesses to enhance their operations with data-driven insights, ensuring competitiveness in the Industry 4.0 landscape. 4. Fishbowl Fishbowl is one among industrial revolution tools, manufacturing software designed for growing apparel companies that need a complete solution integrating all aspects of their business. It offers full-featured on-premise or cloud-based options. Fishbowl seamlessly integrates with QuickBooks, providing secure and cost-effective inventory management to manufacturers. It is known for its user-friendly interface, ease of use, and excellent customer service through value chain optimization techniques. With Fishbowl, businesses can streamline their production processes, manage inventory efficiently, and benefit from robust integration capabilities. 5. FactoryLogix FactoryLogix: Digital Manufacturing Engineering is a powerful solution that enables faster time-to-market by providing greater flexibility, control, and simplicity in production design. With this software, manufacturers can quickly transform CAD and bills of materials into interactive visual work instructions, process routes, inspection plans, and more. The features and benefits of FactoryLogix include accelerating and simplifying production launches, driving new business opportunities, standardizing and automating best practices, improving customer value and satisfaction, avoiding unexpected costs, eliminating manual errors and waste, as well as consistently meeting product launch dates. 6. MachineMetrics One of the industrial revolution tools, MachineMetrics is an industrial IoT platform explicitly designed for manufacturing businesses. It offers universal machine connectivity, cloud data infrastructure, and communication workflows to optimize machine operation. With the ability to connect machines both in the cloud and at the edge, MachineMetrics enables manufacturers to digitize their legacy processes and enhance profitability. Numerous manufacturers have adopted the platform worldwide, with thousands of machines already connected. By delivering timely and relevant information, MachineMetrics helps improve machine performance, productivity, and capacity utilization. Ultimately, it empowers manufacturers to stay competitive and win more business in the global market. 7. Siemens Opcenter Siemens Opcenter is a comprehensive Manufacturing Operations Management (MOM) solution that facilitates the digitalization of manufacturing operations. By offering end-to-end visibility into production, Opcenter empowers decision-makers to identify areas for improvement in product design and manufacturing processes. This enables operational adjustments for smoother and more efficient production. Opcenter encompasses various modules, including Opcenter APS for production planning and scheduling, Opcenter Intelligence for data aggregation and analysis, and Opcenter Execution Discrete for shop floor visibility. With Opcenter, businesses can achieve improved efficiency, reduced time-to-market, enhanced quality management, better planning, and flexible integration capabilities. It supports the realization of innovation in the digital enterprise. Wrap Up The industry 4.0 software and industry 4.0 tools listed above allows seamless collaboration and integration among stakeholders, leading to enhanced operational efficiency, accelerated innovation, and improved customer experiences. By embracing collaborative platforms, businesses can unlock the full potential of Industry 4.0, creating agile, interconnected ecosystems that drive growth and competitive advantage. As the Industry 4.0 revolution unfolds, organizations that proactively adopt and leverage collaborative platforms will be well-positioned to thrive in this era of unprecedented connectivity and digital transformation.

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Industrial 4.0

Addressing Industry 4.0 Challenges for Connected Future in Smart Cities

Article | July 14, 2023

Navigating the challenges of Industry 4.0: Strategies for building connected smart cities that prioritize cybersecurity, scalability and data privacy in the pursuit of a sustainable urban future. Contents 1. Introduction 2. Overcoming Challenges Faced in Smart Cities 2.1 System Reliability and Downtime 2.2 Integration Issues in Legacy Systems 2.3 Complex Data Analytics and Real-Time Insights 2.4 Digital Divide and Accessibility 2.5 Vendor Lock-In and Interoperability Standards 2.6 Resistance to Change 2.7 Increased Cost and poor ROI 3. Final Thoughts 1. Introduction Smart cities are urban areas that utilize advanced technologies and data-driven solutions to improve efficiency, sustainability, and quality of life. These cities integrate various aspects of the manufacturing industry into their infrastructure and operations to drive innovation and optimize resource utilization. Data analytics and AI play a vital role in smart cities. Manufacturers gain valuable insights from the vast amount of data generated within the manufacturing sector by harnessing big data analytics and AI technologies. This enables them to optimize production processes, predict maintenance needs, identify patterns, and make data-driven decisions to improve efficiency and quality. Connectivity and communication infrastructure are crucial in smart cities. These cities establish robust network and communication systems to facilitate seamless data transfer and real-time collaboration across the manufacturing ecosystem, providing benefits of industry 4.0. This supports efficient supply chain management, remote monitoring, and the integration of manufacturing processes. Sustainable manufacturing practices are also prioritized in smart cities. They incorporate energy-efficient technologies, waste reduction measures, recycling programs, and renewable energy sources. Collaboration is emphasized in the smart city manufacturing ecosystem. Various stakeholders, including manufacturers, suppliers, researchers, and policymakers, work together to foster knowledge sharing, innovation, and the development of industry standards. As the concept of Industry 4.0 continues to shape the future, smart cities are emerging as powerful entities that leverage technology to enhance urban living. However, with the integration of various interconnected systems and devices, challenges of smart cities are a concern. This article will explore the industry 4.0 challenges & solutions and discuss strategies to address these challenges for a sustainable and efficient urban future. 2. Overcoming Challenges Faced in Smart Cities 2.1 System Reliability and Downtime One among industry 4.0 challenges, system reliability and downtime are critical concerns in the realm of smart manufacturing. As manufacturing operations become increasingly interconnected, they become more susceptible to system failures and production interruptions. Ensuring high system reliability is paramount, requiring meticulous planning, rigorous testing, and continuous monitoring. Robust backup and recovery mechanisms are essential to mitigate the impact of disruptions and swiftly restore operations. Implementing redundant systems, backup power sources, and data backup strategies are key components of a comprehensive reliability strategy. Minimizing downtime and swiftly addressing system failures is crucial for maintaining productivity and meeting customer demands in a competitive business environment. 2.2 Integration Issues in Legacy Systems Integrating legacy systems with modern smart manufacturing solutions poses a significant challenge for many manufacturing facilities. Legacy systems often lack compatibility with the latest technologies, making seamless integration complex and time-consuming. Overcoming this challenge requires careful planning, identifying suitable integration approaches, and allocating resources for necessary upgrades or replacements. The process involves mapping data flows, establishing interfaces, and ensuring smooth communication between the legacy systems and new smart manufacturing components. It may also involve retrofitting or implementing middleware solutions to bridge the technology gap. Successful integration of legacy systems enables the leveraging of existing infrastructure and maximizes the benefits of smart manufacturing in a cost-effective manner. 2.3 Complex Data Analytics and Real-Time Insights One of the challenges of smart cities, extracting valuable insights from the vast data connected manufacturing systems generates presents a significant challenge. Data's sheer volume and complexity make it difficult to identify meaningful patterns and extract actionable insights. To address this, businesses must implement advanced data analytics tools and algorithms capable of processing and analyzing data in real-time. These tools enable manufacturers to gain real-time visibility into their operations, optimize production processes, enhance product quality, and make informed decisions. By harnessing the power of data analytics, manufacturers can uncover hidden opportunities for improvement, increase operational efficiency, and gain a competitive edge in the market. 2.4 Digital Divide and Accessibility The transition to a connected future in manufacturing brings the risk of exacerbating the digital divide, particularly in regions or industries with limited access to technology or adequate infrastructure. This challenge requires ensuring equitable access to smart manufacturing technologies, bridging the gap between those with advanced connectivity and those lacking access. Promoting initiatives providing affordable technology solutions, fostering public-private partnerships, and advocating for infrastructure development are crucial. By addressing the digital divide, businesses can encourage inclusivity, empower underserved communities, and unlock the economic potential of all stakeholders in the manufacturing sector. Closing the gap will lead to a more balanced and sustainable, connected future. 2.5 Vendor Lock-In and Interoperability Standards The risk of vendor lock-in is a significant concern when adopting smart manufacturing technologies. It occurs when manufacturers rely heavily on a specific technology provider's ecosystem, limiting flexibility and options. It is essential to prioritize interoperability between different vendors' systems to mitigate this risk. By establishing industry-wide standards and protocols, manufacturers can ensure that their systems can seamlessly communicate and integrate with technologies from multiple vendors. This fosters healthy competition and prevents monopolistic control, enabling manufacturers to choose the best solutions for their specific needs. Emphasizing interoperability and avoiding vendor lock-in promotes flexibility, innovation, and the ability to adapt to changing market dynamics in the connected future of manufacturing. 2.6 Resistance to Change Among the industry 4.0 challenges, is implementing new technologies and processes in manufacturing often encounters resistance from employees, management, and other stakeholders. Overcoming this resistance is a critical challenge that requires effective change management strategies. It involves fostering a culture of innovation and creating a compelling case for the benefits of connected manufacturing. Transparent communication, stakeholder engagement, and addressing concerns through training and support are essential. Providing clear goals, and demonstrating the positive impact on productivity, efficiency, and job satisfaction can help alleviate resistance. By involving employees in the transition, recognizing their contributions, and highlighting the long-term advantages, organizations can create a positive environment that embraces change and maximizes the potential of a connected future in manufacturing. 2.7 Increased Cost and poor ROI Implementing connected manufacturing systems entails substantial initial costs, posing a challenge regarding cost considerations and return on investment (ROI). While these systems offer significant benefits, such as improved productivity and efficiency, organizations must carefully assess and justify the expenses. Ensuring a positive ROI requires comprehensive planning, accurate cost estimation, and effective resource allocation. It involves identifying areas where connected technologies can deliver tangible value and aligning investments with strategic objectives. Balancing cost concerns with long-term advantages is crucial, as organizations must make informed decisions that maximize ROI while fostering innovation and competitiveness. Businesses can navigate this challenge and achieve sustainable growth through connected manufacturing by conducting thorough cost-benefit analyses and leveraging available financial models. 3. Final Thoughts As smart cities embrace the possibilities of Industry 4.0, it is crucial to address the challenges of creating a connected urban environment. By focusing on collaboration among stakeholders, implementing robust cybersecurity measures, fostering data privacy, ensuring infrastructure scalability, and empowering citizens through digital inclusion, smart cities can overcome the challenges of Industry 4.0 and build a sustainable, efficient, inclusive, connected future. By actively addressing these challenges, smart cities can leverage the transformative power of technology to create a thriving urban ecosystem that benefits residents and contributes to a better quality of life. Industry 4.0 presents unique challenges and opportunities for developing connected smart cities. By proactively addressing these challenges through collaborative efforts, cybersecurity measures, data privacy considerations, infrastructure scalability, and digital inclusion, smart cities can pave the way for a connected future that embraces the benefits of technology while ensuring the well-being and satisfaction of its residents.

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The ITS Group is a leading turnkey subcontractor, providing full-service electromechanical development and manufacturing for key industries worldwide. Our world-class design, fabrication, procurement and assembly capabilities enable us to build success for clients whose products are in the R&D stage, managing the supply chain, providing engineering documentation, and shortening time to market.

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Telit Cinterion and Nestlé Brazil Partner on Private 5G for Industry 4.0 Factory Automation

PR Newswire | August 24, 2023

Telit Cinterion, a global enabler of the intelligent edge, today announced completion of a successful proof-of-concept trial of private 5G for factory automation. Conducted in partnership with Nestlé Brazil, the trial showcases why and how manufacturers are increasingly making 5G a foundational component of their Industry 4.0 transformation strategies. Many manufacturers are considering or already implementing 5G, including private 5G networks, a global trend that will be worth $109 billion by 2030. Nestlé conducted the trial at Parque Tecnologico São José dos Campos, a government-sponsored research park where it is one of the resident companies exploring next-generation technologies and business processes. The trial focused on how Nestlé could use 5G to connect autonomous manufacturing robots and automated guided vehicles at their plants like the one in Caçapava, Brazil. The trial used the Telit Cinterion 5G FT980-WW evaluation kit, which features the FN980 module. Based on the 3GPP Rel. 15 standard, the FN980m supports all major 5G frequency bands, giving private networks maximum deployment flexibility. The Nestlé trial focused on the use of sub-6 GHz spectrum. "Telit Cinterion has been a partner of Nestlé since we began conducting the first tests using 5G technology at Nestlé's Innovation and Technology Center (CIT) at the São José dos Campos Technology Park. We are very pleased with this unprecedented joint work, which is so important for the national industry," explained Gustavo Moura, Digital Transformation Program Manager for Operations at Nestlé Brazil. "Nestlé Brazil is one of several recent Latin America 5G factory automation trials that Telit Cinterion has been part of, which shows that manufacturers across the region see 5G as key for ensuring the success of their Industry 4.0 migration," said Neset Yalcinkaya, SVP Sales Americas at Telit Cinterion. "This successful trial also is the latest example of how manufacturers, systems integrators, and others turn to Telit Cinterion for private 5G factory automation and PoC trials." About Telit Cinterion Telit Cinterion is a global enabler of the intelligent edge providing complete solutions that reduce time to market and costs, delivering custom designed, ready for market connected devices in addition to maintaining the industry's broadest portfolio of enterprise-grade wireless communication and positioning modules, cellular MVNO connectivity plans and management services, edge-cloud software and data orchestration, and IoT and Industrial IoT platforms. As the largest western provider pioneering IoT innovation, Telit Cinterion delivers award-winning and highly secure IoT solutions, modules and services for the industry's top brands.

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Sight Machine Factory CoPilot Democratizes Industrial Data With Generative AI

Globenewswire | July 28, 2023

Sight Machine Inc. today announced the release of Factory CoPilot, democratizing industrial data through the power of generative artificial intelligence. By integrating Sight Machine’s Manufacturing Data Platform with Microsoft Azure OpenAI Service, Factory CoPilot brings unprecedented ease of access to manufacturing problem solving, analysis and reporting. Using a natural language user interface similar to ChatGPT, Factory CoPilot offers an intuitive, “ask the expert” experience for all manufacturing stakeholders, regardless of data proficiency. In response to a single question, Factory CoPilot can automatically summarize all relevant data and information about production in real-time (e.g., for daily meetings) and generate user-friendly reports, emails, charts and other content (in any language) about the performance of any machine, line or plant across the manufacturing enterprise, based on contextualized data in the Sight Machine platform. Factory CoPilot guides users through root cause analysis and drill-down investigation for faster diagnosis of issues. Streaming data from across machines, lines and plants enables continuous system-wide analysis and insights, identifying the causes of unplanned downtime, slow-running machines or quality issues, and enabling continuous manufacturing process improvement. Factory CoPilot empowers team members with real-time results and insights from production queries, such as KPI reporting, performance comparisons, trend and correlation analyses, data source availability reports, and recommendations on optimal settings and production recipes. “Sight Machine’s Manufacturing Data Platform has been a critical part of IPG’s success in using data to continuously improve and scale manufacturing productivity. We value Sight Machine’s leadership in bringing generative AI to manufacturing together with Microsoft,” said Jai Sundararaman, Chief Transformation Officer leading Innovation & Digital Transformation, Intertape Polymer Group Inc. (IPG). “Factory CoPilot has the potential to dramatically expand the reach and impact of our data-driven transformation initiatives, empowering our front-line with easy to use tools and valuable insights to enhance decision making and operations.” Sight Machine’s Manufacturing Data Platform Offers A Single Source of Truth on Production The power of Factory CoPilot is based on its integration with Sight Machine’s Manufacturing Data Platform (MDP), which captures the entire manufacturing process in a single, secure industrial data foundation, contextualizing all plant data and incorporating data from all sensors, machines, lines and plants operated by a company. MDP automates the process of blending and transforming streaming data from all manufacturing data sources, enabling system-level understanding of production, and uses AI to continuously enrich the data foundation with new levels of insight. Because Factory CoPilot draws its information from the fully contextualized data foundation that Sight Machine’s platform creates for each manufacturing customer, users can be confident that the results are complete and accurate, without worrying about the “hallucinations” that generative AI systems can invent when they lack real data. All generative output is backed by validated source references to increase trust and empower confidence, enabling a bias for action. At all times, the underlying data and generated results are protected and remain secure, exclusively available within each customer's managed Azure environment. “Generative AI has immense potential in manufacturing, but AI can’t work with raw factory data,” said Sight Machine CEO and Co-Founder Jon Sobel. “In order to transform manufacturing in a way that is scalable, affordable and manageable, AI needs the fully contextualized data that Sight Machine’s universal data foundation provides. We look forward to working closely with clients and our partners at Microsoft to make this technology widely available.” Sight Machine’s integration of Microsoft Azure OpenAI Service continues a multi-year collaboration that helps manufacturers around the world transform their business and unlock new levels of productivity and sustainability with leading cloud, data and AI-powered technology. 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Bbb Industries Acquires Hydraulex, Expanding Its Industrial Sector Offerings

PR Newswire | July 20, 2023

BBB Industries, LLC (BBB), a leading sustainable manufacturer serving automotive, industrial, energy storage, and solar markets, backed by Clearlake Capital Group, L.P. (Clearlake), announced today that it has acquired Hydraulex, a provider of critical, need-it-now hydraulic solutions serving the industrial aftermarket. Terms of the deal were not announced. This strategic acquisition marks an important milestone in BBB's journey as it further expands the company's offerings into an array of industrial markets. Hydraulex's history of providing repair and remanufacturing of aftermarket hydraulic components for both mobile and fixed applications aligns with BBB's commitment to sustainable manufacturing in support of efficient resource management and reduced total cost of ownership. "We are thrilled to welcome Hydraulex into the BBB enterprise," said Duncan Gillis, CEO of BBB. "This acquisition opens opportunities to provide our customers with additional product and service options. Our goal is to continue to spread the power of sustainable manufacturing at scale to deliver even greater value to our customers, and we are excited about the opportunities that lie ahead." "The acquisition of Hydraulex is an exciting development for BBB as we build upon the company's foundation in sustainable manufacturing and expand into adjacent industrial end-markets," said José E. Feliciano, Co-Founder and Managing Partner, and Colin Leonard, Partner and Managing Director, at Clearlake. "This acquisition, our second since partnering with Duncan and the BBB team last year, represents our O.P.S.® framework in action as we pursue accelerated growth through both organic initiatives and strategic M&A," added Ben Kruger, Senior Vice President at Clearlake. With a four-decade legacy of manufacturing excellence, Hydraulex's products power critical equipment spanning across infrastructure, industrial, construction, agriculture, mining, on-highway and marine equipment end-markets. About Hydraulex Hydraulex is a family of Attica Hydraulic Exchange, Flint Hydrostatics, Hydraulic Repair and Design and Metaris Hydraulics. We are a company that repairs and provides Remanufactured, Aftermarket, and OEM hydraulic units and components. We specialize in industrial applications like paper mills, saw mills, steel mills, recycling plants, oil & gas applications and mobile applications, including construction, utility, mining, agricultural and marine equipment. About BBB Industries BBB Industries, LLC is a leading sustainable manufacturer serving the automotive, industrial, and renewable energy markets. With an extensive footprint and operations throughout North America, BBB entered the European market in 2020 and now sustainably manufactures and supplies an assortment of nondiscretionary repair parts across more than 90 countries. TerrePower is a division of BBB that services the electric vehicle, energy storage and solar markets across both North America and Europe. Founded in 1987, BBB Industries, LLC is a private company with corporate centers located in the greater Mobile, Alabama and Dallas, Texas areas. Please see www.bbbind.com for more information. About Clearlake Clearlake Capital Group, L.P. is an investment firm founded in 2006 operating integrated businesses across private equity, credit and other related strategies. With a sector-focused approach, the firm seeks to partner with experienced management teams by providing patient, long-term capital to dynamic businesses that can benefit from Clearlake's operational improvement approach, O.P.S.® The firm's core target sectors are industrials, technology and consumer. Clearlake currently has over $70 billion of assets under management and its senior investment principals have led or co-led over 400 investments. The firm is headquartered in Santa Monica, CA with affiliates in Dallas, TX, London, UK, Dublin, Ireland and Singapore.

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Telit Cinterion and Nestlé Brazil Partner on Private 5G for Industry 4.0 Factory Automation

PR Newswire | August 24, 2023

Telit Cinterion, a global enabler of the intelligent edge, today announced completion of a successful proof-of-concept trial of private 5G for factory automation. Conducted in partnership with Nestlé Brazil, the trial showcases why and how manufacturers are increasingly making 5G a foundational component of their Industry 4.0 transformation strategies. Many manufacturers are considering or already implementing 5G, including private 5G networks, a global trend that will be worth $109 billion by 2030. Nestlé conducted the trial at Parque Tecnologico São José dos Campos, a government-sponsored research park where it is one of the resident companies exploring next-generation technologies and business processes. The trial focused on how Nestlé could use 5G to connect autonomous manufacturing robots and automated guided vehicles at their plants like the one in Caçapava, Brazil. The trial used the Telit Cinterion 5G FT980-WW evaluation kit, which features the FN980 module. Based on the 3GPP Rel. 15 standard, the FN980m supports all major 5G frequency bands, giving private networks maximum deployment flexibility. The Nestlé trial focused on the use of sub-6 GHz spectrum. "Telit Cinterion has been a partner of Nestlé since we began conducting the first tests using 5G technology at Nestlé's Innovation and Technology Center (CIT) at the São José dos Campos Technology Park. We are very pleased with this unprecedented joint work, which is so important for the national industry," explained Gustavo Moura, Digital Transformation Program Manager for Operations at Nestlé Brazil. "Nestlé Brazil is one of several recent Latin America 5G factory automation trials that Telit Cinterion has been part of, which shows that manufacturers across the region see 5G as key for ensuring the success of their Industry 4.0 migration," said Neset Yalcinkaya, SVP Sales Americas at Telit Cinterion. "This successful trial also is the latest example of how manufacturers, systems integrators, and others turn to Telit Cinterion for private 5G factory automation and PoC trials." About Telit Cinterion Telit Cinterion is a global enabler of the intelligent edge providing complete solutions that reduce time to market and costs, delivering custom designed, ready for market connected devices in addition to maintaining the industry's broadest portfolio of enterprise-grade wireless communication and positioning modules, cellular MVNO connectivity plans and management services, edge-cloud software and data orchestration, and IoT and Industrial IoT platforms. As the largest western provider pioneering IoT innovation, Telit Cinterion delivers award-winning and highly secure IoT solutions, modules and services for the industry's top brands.

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Sight Machine Factory CoPilot Democratizes Industrial Data With Generative AI

Globenewswire | July 28, 2023

Sight Machine Inc. today announced the release of Factory CoPilot, democratizing industrial data through the power of generative artificial intelligence. By integrating Sight Machine’s Manufacturing Data Platform with Microsoft Azure OpenAI Service, Factory CoPilot brings unprecedented ease of access to manufacturing problem solving, analysis and reporting. Using a natural language user interface similar to ChatGPT, Factory CoPilot offers an intuitive, “ask the expert” experience for all manufacturing stakeholders, regardless of data proficiency. In response to a single question, Factory CoPilot can automatically summarize all relevant data and information about production in real-time (e.g., for daily meetings) and generate user-friendly reports, emails, charts and other content (in any language) about the performance of any machine, line or plant across the manufacturing enterprise, based on contextualized data in the Sight Machine platform. 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We value Sight Machine’s leadership in bringing generative AI to manufacturing together with Microsoft,” said Jai Sundararaman, Chief Transformation Officer leading Innovation & Digital Transformation, Intertape Polymer Group Inc. (IPG). “Factory CoPilot has the potential to dramatically expand the reach and impact of our data-driven transformation initiatives, empowering our front-line with easy to use tools and valuable insights to enhance decision making and operations.” Sight Machine’s Manufacturing Data Platform Offers A Single Source of Truth on Production The power of Factory CoPilot is based on its integration with Sight Machine’s Manufacturing Data Platform (MDP), which captures the entire manufacturing process in a single, secure industrial data foundation, contextualizing all plant data and incorporating data from all sensors, machines, lines and plants operated by a company. MDP automates the process of blending and transforming streaming data from all manufacturing data sources, enabling system-level understanding of production, and uses AI to continuously enrich the data foundation with new levels of insight. Because Factory CoPilot draws its information from the fully contextualized data foundation that Sight Machine’s platform creates for each manufacturing customer, users can be confident that the results are complete and accurate, without worrying about the “hallucinations” that generative AI systems can invent when they lack real data. All generative output is backed by validated source references to increase trust and empower confidence, enabling a bias for action. At all times, the underlying data and generated results are protected and remain secure, exclusively available within each customer's managed Azure environment. “Generative AI has immense potential in manufacturing, but AI can’t work with raw factory data,” said Sight Machine CEO and Co-Founder Jon Sobel. “In order to transform manufacturing in a way that is scalable, affordable and manageable, AI needs the fully contextualized data that Sight Machine’s universal data foundation provides. We look forward to working closely with clients and our partners at Microsoft to make this technology widely available.” Sight Machine’s integration of Microsoft Azure OpenAI Service continues a multi-year collaboration that helps manufacturers around the world transform their business and unlock new levels of productivity and sustainability with leading cloud, data and AI-powered technology. On July 18, Sight Machine was certified as a launch partner for Microsoft Cloud for Manufacturing, and in October 2022, Sight Machine introduced Sight Machine Blueprint, developed in collaboration with NVIDIA and Microsoft, which uses AI for high-speed, automated data labeling, enabling manufacturers to analyze up to 100x more of their data. “Microsoft and its ecosystem are committed to Industrial Metaverse and making the deep investments needed to support global industry transformation,” said Çağlayan Arkan, Vice President, Global Sales Lead, Industrial Metaverse Strategy and Sales, Manufacturing and Supply Chain at Microsoft. “We are proud to collaborate and innovate with Sight Machine as together we bring practical, useful solutions to the world’s factories and plants.” About Sight Machine Sight Machine helps Global 500 Manufacturers unlock the power of industrial data to increase profitability, productivity, and sustainability. Purpose-built for manufacturing, Sight Machine’s Manufacturing Data Platform creates a common data foundation and utilizes AI/ML to support real-time decision making. Through a data-first approach, Sight Machine captures and contextualizes data from the entire factory to deliver a systemwide view of the end-to-end manufacturing process. Data becomes democratized, empowering all stakeholders — from executives to plant managers and operators — to drive and scale productivity improvements across the enterprise. Founded by a team with deep manufacturing industry expertise, Sight Machine has offices in San Francisco and Ann Arbor, Mich.

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Bbb Industries Acquires Hydraulex, Expanding Its Industrial Sector Offerings

PR Newswire | July 20, 2023

BBB Industries, LLC (BBB), a leading sustainable manufacturer serving automotive, industrial, energy storage, and solar markets, backed by Clearlake Capital Group, L.P. (Clearlake), announced today that it has acquired Hydraulex, a provider of critical, need-it-now hydraulic solutions serving the industrial aftermarket. Terms of the deal were not announced. This strategic acquisition marks an important milestone in BBB's journey as it further expands the company's offerings into an array of industrial markets. Hydraulex's history of providing repair and remanufacturing of aftermarket hydraulic components for both mobile and fixed applications aligns with BBB's commitment to sustainable manufacturing in support of efficient resource management and reduced total cost of ownership. "We are thrilled to welcome Hydraulex into the BBB enterprise," said Duncan Gillis, CEO of BBB. "This acquisition opens opportunities to provide our customers with additional product and service options. Our goal is to continue to spread the power of sustainable manufacturing at scale to deliver even greater value to our customers, and we are excited about the opportunities that lie ahead." "The acquisition of Hydraulex is an exciting development for BBB as we build upon the company's foundation in sustainable manufacturing and expand into adjacent industrial end-markets," said José E. Feliciano, Co-Founder and Managing Partner, and Colin Leonard, Partner and Managing Director, at Clearlake. "This acquisition, our second since partnering with Duncan and the BBB team last year, represents our O.P.S.® framework in action as we pursue accelerated growth through both organic initiatives and strategic M&A," added Ben Kruger, Senior Vice President at Clearlake. With a four-decade legacy of manufacturing excellence, Hydraulex's products power critical equipment spanning across infrastructure, industrial, construction, agriculture, mining, on-highway and marine equipment end-markets. About Hydraulex Hydraulex is a family of Attica Hydraulic Exchange, Flint Hydrostatics, Hydraulic Repair and Design and Metaris Hydraulics. We are a company that repairs and provides Remanufactured, Aftermarket, and OEM hydraulic units and components. We specialize in industrial applications like paper mills, saw mills, steel mills, recycling plants, oil & gas applications and mobile applications, including construction, utility, mining, agricultural and marine equipment. About BBB Industries BBB Industries, LLC is a leading sustainable manufacturer serving the automotive, industrial, and renewable energy markets. With an extensive footprint and operations throughout North America, BBB entered the European market in 2020 and now sustainably manufactures and supplies an assortment of nondiscretionary repair parts across more than 90 countries. TerrePower is a division of BBB that services the electric vehicle, energy storage and solar markets across both North America and Europe. Founded in 1987, BBB Industries, LLC is a private company with corporate centers located in the greater Mobile, Alabama and Dallas, Texas areas. Please see www.bbbind.com for more information. About Clearlake Clearlake Capital Group, L.P. is an investment firm founded in 2006 operating integrated businesses across private equity, credit and other related strategies. With a sector-focused approach, the firm seeks to partner with experienced management teams by providing patient, long-term capital to dynamic businesses that can benefit from Clearlake's operational improvement approach, O.P.S.® The firm's core target sectors are industrials, technology and consumer. Clearlake currently has over $70 billion of assets under management and its senior investment principals have led or co-led over 400 investments. The firm is headquartered in Santa Monica, CA with affiliates in Dallas, TX, London, UK, Dublin, Ireland and Singapore.

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