IoT Community - Internet of Things Community®’s Post

Have you already downloaded our latest book? "Learning Techniques for the Internet of Things," by Praveen Kumar Donta, Abhishek Hazra, and Lauri Lovén, have made a comprehensive guide that explores the integration of IoT with edge computing, federated learning, and AI. The book is structured into thirteen chapters and covers a wide range of applications in healthcare, transportation, and more. It also discusses the role of data-driven technologies in enhancing IoT communication and examines challenges and future directions in IoT deployments, particularly in smart cities. Advanced topics such as digital twins, multi-objective reinforcement learning, and quantum key distribution are also explored. This book is a must-read for professionals and researchers interested in the cutting-edge developments of IoT and its impact on various industries. Dive into the future of IoT and its transformative potential at https://lnkd.in/dz2RF4T2. #6GFlagship #UniOulu #IoT #EdgeComputing #AI

Have you already downloaded our latest book? "Learning Techniques for the Internet of Things," by Praveen Kumar Donta, Abhishek Hazra, and Lauri Lovén, have made a comprehensive guide that explores the integration of IoT with edge computing, federated learning, and AI. The book is structured into thirteen chapters and covers a wide range of applications in healthcare, transportation, and more. It also discusses the role of data-driven technologies in enhancing IoT communication and examines challenges and future directions in IoT deployments, particularly in smart cities. Advanced topics such as digital twins, multi-objective reinforcement learning, and quantum key distribution are also explored. This book is a must-read for professionals and researchers interested in the cutting-edge developments of IoT and its impact on various industries. Dive into the future of IoT and its transformative potential at https://lnkd.in/dz2RF4T2. #6GFlagship #UniOulu #IoT #EdgeComputing #AI

We are excited to announce the release of our latest book, "Learning Techniques for the Internet of Things," by Praveen Kumar Donta, Abhishek Hazra, and Lauri Lovén. This comprehensive guide explores the integration of IoT with edge computing, federated learning, and AI. The book is structured into thirteen chapters and covers a wide range of applications in healthcare, transportation, and more. It also discusses the role of data-driven technologies in enhancing IoT communication and examines challenges and future directions in IoT deployments, particularly in smart cities. Advanced topics such as digital twins, multi-objective reinforcement learning, and quantum key distribution are also explored. This book is a must-read for professionals and researchers interested in the cutting-edge developments of IoT and its impact on various industries. Dive into the future of IoT and its transformative potential at https://lnkd.in/dz2RF4T2. #6GFlagship #UniOulu #IoT #EdgeComputing #AI

Have you already downloaded our latest book? "Learning Techniques for the Internet of Things," by Praveen Kumar Donta, Abhishek Hazra, and Lauri Lovén, have made a comprehensive guide that explores the integration of IoT with edge computing, federated learning, and AI. The book is structured into thirteen chapters and covers a wide range of applications in healthcare, transportation, and more. It also discusses the role of data-driven technologies in enhancing IoT communication and examines challenges and future directions in IoT deployments, particularly in smart cities. Advanced topics such as digital twins, multi-objective reinforcement learning, and quantum key distribution are also explored. This book is a must-read for professionals and researchers interested in the cutting-edge developments of IoT and its impact on various industries. Dive into the future of IoT and its transformative potential at https://lnkd.in/dz2RF4T2. #6GFlagship #UniOulu #IoT #EdgeComputing #AI

Let us dive into how AI in IoT environment showcases the significant potential for transforming manufacturing and promoting the digital economy. 🎊 📙 Explore more: https://lnkd.in/eGewE2g2 Management and Science University #MSUMalaysiaGSM #Q1 #publication #AI #IoT

Integrating IoT data with AI/ML technologies at both the edge and cloud levels is a topic of growing importance in today's data-driven world. Processing data at the edge involves analyzing information close to the IoT devices themselves. This allows for real-time insights and immediate actions. For example, in Automitve, edge computing handles critical data processing near the vehicle, reducing latency and enhancing decision-making speed. On the other hand, cloud-level processing involves aggregating data from multiple edge devices for deeper analysis. This broader scope enables the identification of trends and patterns across different locations and time frames. In the Automotive, Cloud integration allows for broader data analysis and continuous learning, improving overall driving algorithms and safety features. Integrating AI/ML at both the edge and cloud levels enables businesses to make informed decisions, responding swiftly to immediate needs while also leveraging broader data trends for strategic planning. This balanced approach is key to harnessing the full potential of IoT data in a complex, interconnected world. #IoT #AI #ML #artificialintelligence #machinelearning #digitaltransformation #cloudcomputing #data #edgecomputing

🌐 Embracing AI in IoT: Insights from Chuck 🤖 In a recent interview, Chuck delved into the integration of Artificial Intelligence (AI) within Internet of Things (IoT) systems. He emphasized the strategic placement of AI inference engines near IoT devices to minimize latency and enhance security. This approach empowers quicker decision-making locally, reducing reliance on cloud computing, crucial for applications like content delivery networks and smart factories. Chuck also addressed the critical issue of biases in AI training data, particularly in facial recognition technologies. He highlighted the challenges faced, such as lower accuracy for darker skin tones due to biased initial data sets. Chuck advocated for leveraging digital twins—virtual models of physical systems—to simulate diverse scenarios and improve AI reliability in real-world conditions, thereby mitigating potential biases in IoT applications. Looking forward, Chuck predicted a transformative impact of AI on customer support, automating routine inquiries through advanced chatbots and AI systems. This evolution will free up human agents to focus on complex issues requiring nuanced human judgment. However, Chuck acknowledged the social implications of this shift, as traditional roles may be replaced by AI-driven systems. Lastly, Chuck discussed the regulatory landscape and encouraged engagement with the Industry IoT Consortium for insights, resources, and influencing future standards in IoT and AI. This proactive approach ensures navigating evolving technological landscapes while adhering to emerging regulatory frameworks. https://lnkd.in/d5rFJS6m Credit : Chuck Byers , CTO at Industry IoT Consortium® / Digital Twin Consortium®, Ryan Chacon Co-Creator of IoT For All #AI #IoT #DigitalTransformation #ArtificialIntelligence #Industry40

𝐀 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝟏𝟎𝟎 𝐏𝐚𝐠𝐞𝐬 𝐏𝐃𝐅 𝐃𝐚𝐭𝐚 𝐆𝐮𝐢𝐝𝐞 𝐨𝐟 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 Get a Free PDF Sample> https://lnkd.in/dqsKA8J8 The demand for cognitive networks is skyrocketing as industries seek more intelligent, efficient, and self-optimizing infrastructures 🌐🤖. With the rapid growth of AI, 5G, and IoT, networks must become adaptive, capable of handling massive data traffic 📊 and real-time analytics 📈. Cognitive networks offer automated solutions for fault detection, resource allocation, and security, reducing operational costs and enhancing user experiences ⚡🔐. As businesses and consumers demand faster, more reliable services, cognitive networks are becoming essential for meeting the challenges of the digital age 🌟. #CognitiveNetworks #AI #5G #IoT #Automation #NetworkOptimization #SmartTechnology #MachineLearning #SelfHealing #FutureOfConnectivity #DigitalTransformation #TechInnovation #NetworkSecurity #EdgeComputing #SmartCities #AIinNetworking #TelecomInnovation #DigitalAge #TechTrends #NetworkAutomation

𝗥𝗲𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝗙𝘂𝘁𝘂𝗿𝗲 𝗪𝗼𝗿𝗸𝘀𝗶𝘁𝗲𝘀 𝘄𝗶𝘁𝗵 𝗔𝗜 & 𝗜𝗼𝗧 𝗖𝗼𝗻𝘃𝗲𝗿𝗴𝗲𝗻𝗰𝗲 The industrial landscape is undergoing a seismic shift. The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) is rapidly transforming industries, and the impact on worksite operations is nothing short of revolutionary. Traditionally, worksites have always relied on manual processes and siloed data. However, AI & IoT convergence has bridged this gap, empowering us to harness real-time data, optimize workflows, increase productivity and enhance worker safety. 🌍 Read our article on -> 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗪𝗼𝗿𝗸𝘀𝗶𝘁𝗲𝘀: https://lnkd.in/dQdUG74r ➡️ 𝗥𝗲𝗾𝘂𝗲𝘀𝘁 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: info@perfectvisionksa.com 📢 𝗟𝗲𝘁'𝘀 𝘁𝗮𝗹𝗸: +966 59 888 1117 #AI #IoT #WorksiteInnovation #projects #FutureOfWork #NEOM #ARAMCO