If you could solve real-world problems with IoT data, what would you tackle first? To answer this question, we'll show you how to use AWS IoT Analytics to analyse massive volumes of IoT data without having to worry about the cost and complexity of building your own IoT analytics platform. The solution makes it easy to run analytics and derive insights from IoT data that will help you make better, more accurate decisions on IoT applications and machine learning use cases, for example, predictive maintenance.
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It is now a well-publicized fact that the IoT predictions from several years ago have completely missed their mark, and arguably are the biggest technology prediction miss in history. Complexity caused by siloed technology stacks and a fragmented mobile network landscape are heralded as the key reasons that have held IoT back.
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cognixia
From wearable devices and connected cars to smart cities and industries, Internet of Things is transforming the world and paving its way to becoming Internet of Everything. With recent advancements in IoT technology in sensor platforms and intelligent analytic capabilities, the use of IoT has become more prominent. Industries are facing major transformation in their operations and processes. One such industry to transform is the telecom industry.
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The increased demand for connectivity and 5G network-enabled IoT solutions is causing technology providers, telcos, agencies to rush to be first to market, clamoring for dominance in a relatively new, untapped market. This wave of competition may push some orgnisations to sacrifice security testing for speed, allowing potential vulnerabilities to remain hidden in the entire value chain of 5G, network and IoT.
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