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The role of IoT in shaping smart cities

CIO

Cities are embracing smart city initiatives to address these challenges, leveraging the Internet of Things (IoT) as the cornerstone for data-driven decision making and optimized urban operations. According to IDC, the IoT market in the Middle East and Africa is set to surpass $30.2 Popular examples include NB-IoT and LoRaWAN.

IoT 308
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Optimizing IoT Security by Implementing Artificial Intelligence

CTOvision

Read Liqaa Nawaf explain how artificial intelligence can help in optimizing Internet of Things security on Infosec Magazine : The Internet of Things (IoT) is growing rapidly in the markets […].

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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AIOps for successful IoT projects

CIO

It’s interesting how the number of projected IoT devices being connected in 2023 can differ by 26 billion from article to article. I can’t imagine being an IT administrator in a large, distributed environment. If you’re new to using AI or HPE Aruba Networking Central, you can learn more from the following links: What is AIOps?

IoT 246
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Machine Learning In Internet Of Things (IoT) – The next big IT revolution in the making

Openxcell

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is IoT or Internet of Things? What is Machine Learning?

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Is Generative AI the New Artificial Intelligence for Business

Sunflower Lab

Intelligent Healthcare Solutions for Remote Treatment Modoscript partnered with Sunflower Lab to improve the remote health monitoring of chronically ill patients through IoT. From this analysis behavior patterns and preferences can be generated and machine learning models can be further streamlined.

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Leveraging Machine Learning and Artificial Intelligence for 5G

CableLabs

Machine Learning (ML) and Artificial Intelligence (AI) can assist wireless operators to overcome these challenges by analyzing the geographic information, engineering parameters and historic data to: Forecast the peak traffic, resource utilization and application types. ML/AI-as-a-service offering for end users.