Ankita Aagnwane’s Post

👨💻 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐈𝐨𝐓 𝐰𝐢𝐭𝐡 𝐄𝐝𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠👨💻 The Internet of Things (IoT) has quickly become a key pillar of modern technology, connecting devices for smarter, more efficient environments.  As IoT networks expand, edge computing provides a solution by bringing processing power closer to where data is generated, enabling faster and real-time decision-making. 🚀 What is 𝐄𝐝𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠? Edge computing decentralizes data processing by analyzing it locally, near where it's generated, instead of relying solely on centralized cloud servers.  This approach reduces the need to send large amounts of data to distant data centers, leading to faster response times and more efficient operations. Advantages of Edge Computing in IoT Reduced Latency: Edge processing enables near real-time responses, making it ideal for applications like autonomous vehicles, industrial automation, and smart cities.  For example, it instantly detects and addresses equipment malfunctions in factories, preventing costly downtime Bandwidth Efficiency: Edge computing filters and processes IoT data locally, reducing the need to transfer large amounts to the cloud, which eases network bandwidth and cuts costs. Enhanced Security and Privacy: Local data processing reduces the probability of sensitive information being sent over insecure networks. It becomes critical in  high-security domains, such as healthcare, financial, and defense industries. Scalability: As IoT deployments grow, the volume of data just gets too enormous to be processed and analyzed in a timely manner by the centralized cloud model.  Edge computing distributes the processing load, therefore making scaling easier. Reliability: Edge computing makes IoT systems independent in any setting where one cannot assume connectivity to the internet—critical in remote or harsh  environments like oil rigs, mines, or rural agricultural sites. Smart Cities: Edge computing enables real-time traffic management, energy optimization, and enhanced public safety by processing data from sensors and cameras locally without delay. Healthcare: Edge computing allows wearable devices and health monitoring systems to analyze vital information at the edge, providing real-time insights and alerting healthcare  professionals to potential issues immediately. Industrial IoT: Edge computing is being used in factories to monitor equipment in real-time, predict failures, and schedule maintenance, which reduces  downtime and operational expenditures. IoT at the Edge—The Future As IoT grows, edge computing is becoming crucial. It offers faster processing, reduced bandwidth usage, and enhanced security, transforming the IoT ecosystem.  Organizations that integrate edge computing into their strategies will excel in real-time data processing and delivering smarter, more responsive solutions #IoTTechnology #edgecomputing #AI #IoTCommunity #Tech

𝐄𝐝𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐌𝐚𝐫𝐤𝐞𝐭 𝐆𝐥𝐨𝐛𝐚𝐥 𝐒𝐢𝐳𝐞, 𝐒𝐡𝐚𝐫𝐞 & 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭 𝗥𝗲𝗾𝘂𝗲𝘀𝘁 𝗙𝗼𝗿 𝗦𝗮𝗺𝗽𝗹𝗲 𝗣𝗗𝗙: https://lnkd.in/gEn5RXfY The Global Edge Computing Market, valued at USD 5.3 billion in 2021, is projected to surpass USD 62.4 billion by 2030, growing at a compound annual growth rate of 31.60%. Edge computing optimizes cloud computing systems by performing computations at the network's edge, aligning data collection and control mechanisms, and providing high bandwidth storage and end-user applications. This approach enhances battery life for IoT devices by reducing communication channel open times and improving latency. Additionally, edge computing allows for efficient data storage, producing cleaner data sets for cloud-based analysis as data collection and processing occur at the network edge. 𝗕𝘆 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁: Hardware, Software, Services, Edge-managed Platforms 𝗕𝘆 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗩𝗲𝗿𝘁𝗶𝗰𝗮𝗹: Healthcare, Agriculture and energy and utilities 𝗕𝘆 𝗞𝗲𝘆 𝗣𝗹𝗮𝘆𝗲𝗿𝘀: Huawei, Dell Technologies, SixSq, Saguna Networks Ltd, AdLink, Axellio Inc., IBM #EdgeComputing #MarketGrowth #TechInnovation #CloudOptimization #IoT #DataProcessing #HighBandwidth #LatencyReduction #SmartDevices #NetworkEdge #DigitalTransformation #FutureTech #AI #MachineLearning #DataStorage #IoTDevices #RealTimeData #TechTrends #ITInfrastructure #NextGenTech

A Complete Guide of " 𝑰𝒏𝒅𝒖𝒔𝒕𝒓𝒚 𝑰𝒐𝑻 4.0 " [ PDF Guide ] ➡ 𝐂𝐥𝐢𝐜𝐤 𝐡𝐞𝐫𝐞 𝐟𝐨𝐫 𝐏𝐃𝐅>> https://lnkd.in/d7c48XX3 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

"Powering Connectivity: The Next Wave of Network Switches " 𝐌𝐚𝐫𝐤𝐞𝐭 𝐕𝐚𝐥𝐮𝐞 : The Network Switches Market was valued at USD 27.7 billion in 2023 and is projected to grow at a CAGR of 6.5% from 2024 to 2030, reaching around USD 43.05 billion by 2030. 𝐌𝐚𝐫𝐤𝐞𝐭 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰 : Network switches are devices used globally to connect multiple devices within a local area network (LAN), facilitating efficient data transfer between connected devices. They operate at the data link layer of the OSI model, enabling smooth communication across networks. 𝑪𝒍𝒊𝒄𝒌 𝒉𝒆𝒓𝒆 𝒇𝒐𝒓 𝒇𝒓𝒆𝒆 𝒔𝒂𝒎𝒑𝒍𝒆 + 𝒓𝒆𝒍𝒂𝒕𝒆𝒅 𝒈𝒓𝒂𝒑𝒉𝒔 𝒐𝒇 𝒕𝒉𝒆 𝒓𝒆𝒑𝒐𝒓𝒕: https://lnkd.in/dYkYP-9X 𝐌𝐚𝐫𝐤𝐞𝐭 𝐃𝐲𝐧𝐚𝐦𝐢𝐜𝐬 : The adoption of advanced technologies such as edge computing, AI, IoT, 5G, and ML has significantly transformed IT infrastructure across various sectors. Industries like smart agriculture, smart infrastructure, retail, manufacturing, logistics, aerospace, security, healthcare, life sciences, and finance are integrating these innovations. 𝐌𝐚𝐫𝐤𝐞𝐭 𝐓𝐫𝐞𝐧𝐝𝐬 : The Network Switches Market is evolving rapidly due to the increasing demand for high-speed connectivity and the growing adoption of technologies like 5G, IoT, and cloud computing. Enterprises are upgrading their IT infrastructure to support digital transformation, driving demand for advanced switches that offer enhanced performance, security, and scalability. 𝑼𝒏𝒍𝒐𝒄𝒌 𝒚𝒐𝒖𝒓 𝒆𝒙𝒄𝒍𝒖𝒔𝒊𝒗𝒆 𝑷𝑫𝑭 𝒏𝒐𝒘!https://lnkd.in/d8e2xatv 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐠𝐢𝐨𝐧 : North America, with its advanced technology hubs and expanding IT sector, held 37.4% of the global market share in 2023, driven by the demand for modern networking solutions. Key industries such as manufacturing, healthcare, and finance rely on robust network infrastructure, fueling the need for network switches. #NetworkSwitches #5G #CloudComputing #IoT #NetworkingSolutions #NorthAmerica #Healthcare #Manufacturing #Finance #EdgeComputing #SoftwareDefinedNetworking #ITInfrastructure #DataConnectivity #SmartNetworking #HighSpeedInternet #TechInnovation #NetworkingTech #DigitalTransformation

A Complete Guide of " 𝑰𝒏𝒅𝒖𝒔𝒕𝒓𝒚 𝑰𝒐𝑻 4.0 " [ PDF Guide ] ➡ 𝐂𝐥𝐢𝐜𝐤 𝐡𝐞𝐫𝐞 𝐟𝐨𝐫 𝐏𝐃𝐅>> https://lnkd.in/dVW4zr7N 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

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐈𝐨𝐓 ( 𝐈𝐧𝐭𝐞𝐫𝐧𝐞𝐭 𝐨𝐟 𝐓𝐡𝐢𝐧𝐠𝐬) & 𝐖𝐡𝐲 𝐈𝐨𝐓 𝐢𝐬 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠? The IoT technology consists of web-connected smart devices that obtain, analyze, and process the data collected from their surroundings using embedded systems includes sensors, processors, and communication hardware. Organizations across a wide range of businesses are gradually shifting to IoT technology to enhance organizational performance and better understand consumers to provide better customer services, enhance decision-making, and boost the value of their businesses. ✅ IoT networks can be categorized into four main types: LAN/PAN, LPWAN, and Mesh protocols. The classification is based on factors like network coverage and available bandwidth. It's worth noting that most IoT networks operate wirelessly. ✅ IoT enables machines to complete tedious tasks without human intervention. Companies can automate processes, reduce labor costs, cut down on waste and improve service delivery. ✅ The seven layers of IoT include the Physical Layer (devices), Link Layer (communication), Network Layer (routing), Transport Layer (end-to-end communication), Session Layer (connection management), Presentation Layer (data format translation), and Application Layer (user-facing applications). ✅ IoT-enabled sensors embedded in machinery can provide real-time data about equipment performance, health, and usage patterns. This allows companies to remotely monitor machinery conditions and identify potential issues before they lead to downtime. ✅ IoT in industrial automation allows for remote monitoring and control of machinery and processes. This means that operators can oversee operations from anywhere in the world, using devices connected to the internet. This enhances flexibility and allows for quick responses to any issues. ✅ Delivering successful IoT means overcoming IoT's 5Cs of technical challenges, including Connectivity, Continuity, Compliance, Coexistence and Cybersecurity. ⏩ The global IoT market size was valued at USD 740.47 billion in 2020, and is projected to reach USD 4,421.62 billion by 2030, growing at a CAGR of 19.67% from 2021 to 2030. ⏩ 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞 𝐑𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/dzhXf9Te #IoTRevolution #SmartTech #IoTInnovation #Digitaltransformation #FutureTech #IoTSecurity #SmartCities #Industry40 #DataDriven #TechTrends #InternetOfThings #IoTApplications #IoTIntegration

A Complete Guide of " 𝑰𝒏𝒅𝒖𝒔𝒕𝒓𝒚 𝑰𝒐𝑻 4.0 " [ PDF Guide ] ➡ 𝐂𝐥𝐢𝐜𝐤 𝐡𝐞𝐫𝐞 𝐟𝐨𝐫 𝐏𝐃𝐅>> https://lnkd.in/dr5TyViB 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 digital twins, the emergence of edge computing, and the rising adoption of smart manufacturing-as-a-service are some of the major trends in this market. According to Accenture , 46% of respondents among American companies see IoT as an opportunity to increase employee productivity. In addition, according to Imaginovation (U.S.), around 35% of manufacturers in the U.S. collect and use data generated from smart sensors to enhance manufacturing processes. Thus, all such factors are driving the industrial IoT market growth in North America. ➤ 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

The IoT Community - Internet of Things Community® is thrilled to announce this #SPTIoTCoE Panel presentation: Elevating Digital Trust as a Key Component of Advanced Operational Technologies (OT) Fusion Strategy for the Modern Manufacturing Enterprise. Join Ted DellaVecchia Symbotix, Oscar De Leon CDW, Cory Latschkowski Red Hat, George Y. CBT & Kamil Fedorko Intellias.  IT and OT convergence has emerged as a critical topic in the context of industrial digitalization and smart manufacturing as the future evolves for legacy production facilities. Integrating smart manufacturing strategies into your production operations requires a clear fusion strategy. Manufacturing companies have typically used the Purdue model as a legacy framework for segmenting their industrial control system networks from corporate enterprise networks and the internet for resource optimization and isolation from external interference and potential access by internal IT operating applications. When it comes to managing data security, access controls, and privacy measures, there are emerging frameworks that may eclipse the legacy model and provide for advanced IoT data processing and utilization. These are designed to assure trusted, 24/7 operations driven by surveillance and functional interventions made possible by IoT sensor data processing. The distributed sources of real-time data emanating from myriad IoT sensors needs a deliberate and comprehensive security/privacy play book. The ultimate goal is zero trust based on an adopted standard that defines, manages and verifies identities, but in the meantime the way to do security is via segmentation for the systems that are not able or chose not to implement a zero-trust environment. Oscar DeLeon, IoT Practice Leader at CDW and vice-Chair of the SPTIoTCOE will explore the current landscape through prepared remarks for context on the subject matter. Then Ted DellaVecchia from Symbotix, will moderate an in-depth roundtable discussion with our distinguished COE members (from: Intellias, CBT, and Red Hat) to explore the value propositions and practical playbooks for manufacturers to be consider as they evolve secure, digital fusion strategies in the OT domain. Join us Thursday March 21st live online via Linkedin Live. https://lnkd.in/evf43raR #IoTCommunity #IoTSlam #IoT 

Security is Still the elephant in the room, and very much still at the top of IoT Community - Internet of Things Community®’s focus areas to help overcome the new threats and cybersecurity concerns inhibiting IoT. Please join us March 21, online - FREE, to hear from our #SPTIoTCoE panel of cyber experts, discuss why we need to elevate digital trust as part of OT - creating fusion strategies for Smart Manufacturing. #IoTCommunity #IoTSecurity #IoTSlam #IoT #IoTDay

𝐃𝐚𝐭𝐚 𝐂𝐞𝐧𝐭𝐞𝐫 𝐏𝐨𝐰𝐞𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 | 𝐑𝐞𝐠𝐢𝐨𝐧𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐓𝐫𝐞𝐧𝐝𝐬, 𝐚𝐧𝐝 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬 The global data center power market is projected to experience significant growth, with an estimated revenue of USD 22.8 billion in 2024. By 2030, the market is expected to expand to USD 33.3 billion, growing at a CAGR of 6.5% from 2024 to 2030. 𝐑𝐞𝐠𝐢𝐨𝐧𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 • 𝐋𝐚𝐫𝐠𝐞𝐬𝐭 𝐑𝐞𝐠𝐢𝐨𝐧: North America • 𝐅𝐚𝐬𝐭𝐞𝐬𝐭 𝐆𝐫𝐨𝐰𝐢𝐧𝐠 𝐑𝐞𝐠𝐢𝐨𝐧: Asia-Pacific 𝐓𝐡𝐞 𝐝𝐞𝐦𝐚𝐧𝐝 𝐟𝐨𝐫 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐜𝐞𝐧𝐭𝐞𝐫 𝐩𝐨𝐰𝐞𝐫 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐢𝐬 𝐝𝐫𝐢𝐯𝐞𝐧 𝐛𝐲 𝐬𝐞𝐯𝐞𝐫𝐚𝐥 𝐤𝐞𝐲 𝐦𝐚𝐫𝐤𝐞𝐭 𝐭𝐫𝐞𝐧𝐝𝐬 𝐚𝐧𝐝 𝐟𝐚𝐜𝐭𝐨𝐫𝐬: • Increasing adoption of cloud computing and IoT applications • Growing need for data storage and processing capabilities • Expanding investments in hyperscale data centers • Rising focus on energy efficiency and sustainability • Growth in edge computing due to latency-sensitive applications   𝐓𝐨 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐫𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/gYvrnBrg #datacenterpower #cloudcomputing #iot #edgecomputing #greendatacenters #datainfrastructure #northamericamarket #asiapacificmarket #smartdatacenters #datasecurity #cagr #marketgrowth #upssystems #switchgears #pdus #bfsi #it #telecommunications #defence #retail #pnsintelligence