As the sheer volume of data generated by sensors grew too massive for traditional cloud-only processing, 2018 saw a major push toward . By processing workloads locally—closer to the "edge" of the network—companies reduced latency and saved on bandwidth costs.
: Major players like Cisco , HPE , and Dell led the migration of compute infrastructure to the edge to handle real-time analytics. 5 IoT Trends That 2018 Should Be Looking AT
The marriage of Artificial Intelligence (AI) and IoT became essential for managing the "data deluge". AI and machine learning provided the tools necessary to extract value from streaming data through predictive analytics. As the sheer volume of data generated by
: The implementation of "fog nodes" allowed for decentralized decision-making in environments like factory floors or oil rigs where constant cloud connectivity was unreliable. 2. Convergence of AI and IoT The marriage of Artificial Intelligence (AI) and IoT
5 IoT Trends That 2018 Should Be Looking At In 2018, the Internet of Things (IoT) moved from experimental buzz to a core business necessity, with the number of connected devices reaching approximately by the end of the year. As enterprises shifted from simply collecting data to seeking actionable insights, several key trends defined the landscape. 1. The Rise of Edge and Fog Computing
Industrial IoT: What It Is and the Trends Driving It in 2018
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