Edge computing represents a pivotal advancement in industrial automation, offering real-time data processing and analytics capabilities that are revolutionising decision-making and process optimisation in manufacturing settings. The evolution of manufacturing since the industrial revolution has led companies to aim at building 'smart factories' that can work mostly on their own and be as efficient as possible. With the Internet of Things (IoT) at the forefront, connectivity has become the foundation for unlocking valuable data from industrial machines, paving the way for transformative growth and improvements in productivity and performance. Here are the top roles being hired to support this growing trend: #automation #manufacturing #edgecomputing #realtimeinsights #hiring #staffing #recruitment
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🏙️ The European Telecommunications Network Operators (ETNO) provided information about the number of IoT smart buildings’ active connections in the European Union (reached by 2025). What do you think about this current trend❓ Leave a comment below! #IoTbuildings #smartbuildings #IoT #automation #innovation #remotecontrol #monitoring #networkanalyzermarket #growth #internetofthings #buildingautomation #smarthometechnology #smartcities #smartoffice #smarthomes #vontech #tech #it #technology #techcompany #techcommunity #consulting #itconsulting #itindustry #techconsulting #itservicescompany #itserviceprovider #development #hiring #mba #itnews #didyouknowthat #info #sharepost #software VON Consulting, Vivien Untaru, SPHR, MBA 🇷🇴
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Software product engineering service providers are expanding to asset-heavy engineering and asset-heavy engineering service providers are expanding to software product engineering with solutions and acquisitions. Interesting expansion strategies of engineering service providers. More weekly updates and insights: https://lnkd.in/gYWmwUpX These weekly insights are Free. Subscribe here. Information is power! https://lnkd.in/gRyqs98s #EIIRTrend #engineering #IoT #Industry40 #EIIRWeeklyUpdate
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Founder | IoT Recruiter | SoftNet Search Partners, LLC | IoT Consulting | AI & ML Recruiter | Consulting for Industry 4.0 and IIoT | Smart Manufacturing Solutions
4 Design Principles for Rugged IoT Networks To build a reliable and robust rugged IoT network requires a commitment to specific design principles. Below are the four fundamental design principles to keep an eye on: 1. Redundancy and Fault Tolerance - Multiple backup systems and failover mechanisms ensure continuous operation in case of failures. 2. Scalability and Flexibility - The network should accommodate future development and adapt to changing requirements seamlessly. 3. Ruggedness and Environmental Protection - Components must be designed to withstand extreme temperatures, moisture, dust, vibrations, and shocks. 4. Security and Data Integrity - Robust encryption and authentication protocols protect sensitive data and control unauthorized access. #Recruiting #HRtech #EmergingTech #AI #IoT #FutureOfWork #Hiring To find the Best Talent 👍 in the IoT Industry, visit: www.iotrecruiter.co #iotrecruiter #recruiting #recruitment #recruiter #recruit #Industry5.0 #Manufacturing #AI #IoT #Robotics #Sustainability #SupplyChain #DigitalTalent #Leadership #Innovation #Attract #RetainTalent #DigitalTransformation #HiringTrends #Skills #ruggedIoT #IoTNetworks
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Our 5G Advanced Network Solutions (ANS) offers a fully managed transition that empowers your business to innovate faster, so embracing the power of our #5G doesn’t have to be daunting.🚀 It also helps eliminate the need for unnecessary hiring and complex in-house management. Instead, you can focus on upskilling your team to leverage 5G's potential by adding #AI expertise for automation or data science know-how for #IoT. 💡 Achieving faster speed, lower latency, and the advanced connectivity of 5G is easier with a full-service networking approach. 🌐 See how: https://t-mo.co/3UPAYq1 #5G #5GANS #HR #advancednetworks #management
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A Complete Guide of " 𝑰𝒏𝒅𝒖𝒔𝒕𝒓𝒚 𝑰𝒐𝑻 4.0 " [ PDF Guide ] ➡ 𝐂𝐥𝐢𝐜𝐤 𝐡𝐞𝐫𝐞 𝐟𝐨𝐫 𝐏𝐃𝐅>> https://lnkd.in/diR9XiFa Industrial #IoT (IIoT) refers to sensors, instruments, machines, and other devices networked via industrial management and business intelligence (#BI) applications. IIoT is the connectivity between systems, machines, and people in the manufacturing world that benefits various sectors, including healthcare, public utilities, retail, logistics, and others. #IIoT increasingly occupies more space in industrial environments, improving operations, resource utilization, inventory management, and more through sensors and smart machinery. ➤ 𝐃𝐫𝐢𝐯𝐞𝐫𝐬 1. Rising Investments in Industry 4.0 Technologies 2. Government Initiatives to Promote Industrial Automation 3. Growing Need to Improve Productivity and Efficiency The use of Industrial IoT for predictive maintenance and the proliferation of data centers are expected to create market growth opportunities. However, vulnerability issues with IoT devices and the lack of skilled professionals are major challenges for market growth. Additionally, the rising popularity of IIoT #digitaltwins, the emergence of #edgecomputing, and the rising adoption of smart manufacturing-as-a-service are some of the major trends in this market. #Keyplayers : ABB Ltd. (Switzerland), General Electric Company (U.S.), Emerson Electric Co. (U.S.), Intel Corporation (U.S.), Cisco Systems, Inc. (U.S.), SAP SE (Germany), IBM Corporation (U.S.), Honeywell International Inc. (U.S.), Amazon Web Services, Inc. (U.S.), Siemens AG (Germany), Huawei Technologies Co, Ltd. (China) #internetofthings #technologie #technologies #information #machinelearning #artificialintelligence #bigdata #cloudcomputing #cloud #healthit #digitaltransformation #iiot #industrialiot #industry4.0 #smartmanufacturing #predictivemaintenance #conditionmonitoring #digitaltwin #factoryautomation #cybersecurity #bigdataanalytics
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Designing systems for different customers can be a complex task as a system engineer. That's why we use a 3-layer template for a good design. 1-The first layer is the CORE business, which is what customers require and mostly see in the market. It's the most visible layer to the customers. 2-The second layer is the ENABLING layer, which is crucial for engineers to deliver and maintain the job. Customers see this layer as an engineering layer for maintenance and further development. 3-The third layer is the FOUNDATION layer, a business-focused account management layer. Customers see this layer as a customer relationship layer. Using this 3-layer template, we can ensure that our systems are designed with the customers' needs in mind while providing the necessary engineering and account management support. #designengineer #IoT #TechnologicalSolution #systemengineer
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IoT Technology Market Size, Share, Growth Drivers, Trends , Opportunities, Industry Report Analysis Download PDF Brochure @ https://lnkd.in/fC3d5FJ The #IoT technology market is expected to grow from USD 384.5 billion in 2021 to USD 566.4 billion by 2027, at a CAGR of 6.7%. The market growth can be attributed to several factors, such as emergence of #5G communications technology, increasing necessity of data centers due to rising adoption of cloud platforms, growing use of wireless smart sensors and networks, and increased IP address space and better #securitysolutions made available through IPv6. Remote monitoring segment to grow with the highest CAGR during the forecast period The #remotemonitoring segment is expected to register the highest growth rate during the forecast period. Remote monitoring involves collecting data from assets and using these data to trigger automatic alerts and actions, such as remote diagnostics, maintenance requests, and other operational processes. Network management platform segment to hold the largest share of the market during the forecast period IoT network management enables functionalities such as authenticating, provisioning, configuring, monitoring, routing, and device software management (e.g., firmware update, bug fix, and so forth). These functionalities help to maintain good network performance and are generally provided in an IoT environment as a network service. A solid network management solution is device-agnostic and offers a simple way to incorporate cross-vendor hardware models and data structures into the IoT workflow. North America held the largest share in the #IoTtechnology market in 2020. Increasing penetration of the internet in technologically advancing economies and growing adoption of #wirelesssensors and networks across major end-use applications such as healthcare, retail, #consumerelectronics , industrial, and #automotive and transportation have resulted in the growth of the global IoT #Sensors market. Some of the key companies operating in the market are Intel Corporation (US), Qualcomm Technologies (US), Texas Instruments Incorporated (US), STMicroelectronics (Switzerland), IBM (US), Hewlett Packard Enterprise (US), Cisco Systems (US), Microsoft Corporation (US), PTC (US), and Amazon Web Services (AWS) (US), and so on.
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A Complete Guide of " 𝑰𝒏𝒅𝒖𝒔𝒕𝒓𝒚 𝑰𝒐𝑻 4.0 " [ PDF Guide ] ➡ 𝐂𝐥𝐢𝐜𝐤 𝐡𝐞𝐫𝐞 𝐟𝐨𝐫 𝐏𝐃𝐅>> https://lnkd.in/dEgp8Niz Industrial #IoT (IIoT) refers to sensors, instruments, machines, and other devices networked via industrial management and business intelligence (#BI) applications. IIoT is the connectivity between systems, machines, and people in the manufacturing world that benefits various sectors. #IIoT increasingly occupies more space in industrial environments, improving operations, resource utilization, inventory management, and more through sensors and smart machinery. As productivity and work efficiency are crucial for business profitability, industries have increased their adoption of #smartmanufacturing processes. Introducing a combination of #digitaltechnologies, such as artificial intelligence and #automation, into factories, warehouses, and production environments provides benefits, such as improved process efficiency, product quality, sustainability, and decreased costs. ➤ 𝐃𝐫𝐢𝐯𝐞𝐫𝐬 1. Rising Investments in Industry 4.0 Technologies 2. Government Initiatives to Promote Industrial Automation 3. Growing Need to Improve Productivity and Efficiency #Keyplayers : ABB Ltd. (Switzerland), General Electric Company (U.S.), Emerson Electric Co. (U.S.), Intel Corporation (U.S.), Cisco Systems, Inc. (U.S.), SAP SE (Germany), IBM Corporation (U.S.), Honeywell International Inc. (U.S.), Amazon Web Services, Inc. (U.S.), Siemens AG (Germany), Huawei Technologies Co, Ltd. (China) #internetofthings #technologie #technologies #information #machinelearning #artificialintelligence #bigdata #cloudcomputing #cloud #healthit #digitaltransformation #iiot #industrialiot #industry4.0 #smartmanufacturing #predictivemaintenance #conditionmonitoring #digitaltwin #factoryautomation #cybersecurity #bigdataanalytics
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A Complete Guide of " 𝑰𝒏𝒅𝒖𝒔𝒕𝒓𝒚 𝑰𝒐𝑻 4.0 " [ PDF Guide ] ➡ 𝐂𝐥𝐢𝐜𝐤 𝐡𝐞𝐫𝐞 𝐟𝐨𝐫 𝐏𝐃𝐅>> https://lnkd.in/dPMga_QP Industrial #IoT (IIoT) refers to sensors, instruments, machines, and other devices networked via industrial management and business intelligence (#BI) applications. IIoT is the connectivity between systems, machines, and people in the manufacturing world that benefits various sectors, including healthcare, public utilities, retail, logistics, and others. #IIoT increasingly occupies more space in industrial environments, improving operations, resource utilization, inventory management, and more through sensors and smart machinery. ➤ 𝐃𝐫𝐢𝐯𝐞𝐫𝐬 1. Rising Investments in Industry 4.0 Technologies 2. Government Initiatives to Promote Industrial Automation 3. Growing Need to Improve Productivity and Efficiency The use of Industrial IoT for predictive maintenance and the proliferation of data centers are expected to create market growth opportunities. However, vulnerability issues with IoT devices and the lack of skilled professionals are major challenges for market growth. Additionally, the rising popularity of IIoT #digitaltwins, the emergence of #edgecomputing, and the rising adoption of smart manufacturing-as-a-service are some of the major trends in this market. #Keyplayers : ABB Ltd. (Switzerland), General Electric Company (U.S.), Emerson Electric Co. (U.S.), Intel Corporation (U.S.), Cisco Systems, Inc. (U.S.), SAP SE (Germany), IBM Corporation (U.S.), Honeywell International Inc. (U.S.), Amazon Web Services, Inc. (U.S.), Siemens AG (Germany), Huawei Technologies Co, Ltd. (China) #internetofthings #technologie #technologies #information #machinelearning #artificialintelligence #bigdata #cloudcomputing #cloud #healthit #digitaltransformation #iiot #industrialiot #industry4.0 #smartmanufacturing #predictivemaintenance #conditionmonitoring #digitaltwin #factoryautomation #cybersecurity #bigdataanalytics
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INTERNET OF THINGS is next future trend... here are some insights .
What's Next? The Future Trends in 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝑰𝒐𝑻 4.0 Technology Read here 👉 https://lnkd.in/dXfQRXXx Major factors driving this Industrial hashtag #IoT growth are rising investments in Industry 4.0 technologies, government initiatives to promote industrial automation, and the growing need to improve productivity and efficiency. However, the lack of standardization and the high capital and OpEx requirements restrain the growth of the IIoT market. Industry 4.0 #technologies offer enhanced productivity, efficiency, knowledge sharing & collaborative working, flexibility, and agility, reducing production costs. These benefits have encouraged both public and private sector players to invest heavily in transforming their manufacturing facilities. Industry 4.0 has increased the adoption of digital technologies, such as automation, data analytics, and IIoT, transforming economies, #production systems, and the delivery of goods and services. This transformation has important implications in terms of industrial development, skill requirements, and global value chains. #Keyplayers: ABB Ltd. (Switzerland), General Electric Company (U.S.), Emerson Electric Co. (U.S.), Intel Corporation (U.S.), Cisco Systems, Inc. (U.S.), SAP SE (Germany), IBM Corporation (U.S.), Honeywell International Inc. (U.S.), Amazon Web Services, Inc. (U.S.), Siemens AG (Germany) #iiot #internetofthings #manufactoring #Sahindtech #information #tech #technologies #computing #machinelearning #update Bhupendra ChauhanHimanshu SinghAyush Srivastav
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