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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.
7) Security (airports, shopping malls, entertainment & sport events). Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…).
To the over 40 million people who travel to Las Vegas every year, the city is all about entertainment that ranges from shopping and gambling, to sport, nightlife, and world-renowned dining. We are always exploring new technologies especially those that can give us a boost in productivity, efficiency and datacollection, says Sherwood.
Theft : while data can be stolen, theft does not result in data loss, so it is not always immediately obvious despite the potential to cause organisational harm. Duplication : data is easy to duplicate and transport, but not easy to recreate if lost or compromised. Sensors : From IoT devices and machine sensors.
While players today do not wear sensors during live action games, the introduction of wearable technologies and new types of IoT sensors will no doubt impact datacollection and player performance in the years ahead, Bhagavathula says. And it’s all made possible by a foundation of well-orchestrated information technology.
Cloud providers such as Microsoft, Google, and AWS heavily invested in AI infrastructure, as did venture capital funds, producing a wide range of solutions for enterprises to jump in feet first with AI apps that automate different critical tasks, with data agents leading the way.
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