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5 Iot — Trends That 2018 Should Be Looking At

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5 Iot — Trends That 2018 Should Be Looking At

Industrial IoT: What It Is and the Trends Driving It in 2018

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. 5 IoT Trends That 2018 Should Be Looking AT

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

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 enterprises shifted from simply collecting data to

: Major players like Cisco , HPE , and Dell led the migration of compute infrastructure to the edge to handle real-time analytics.

: 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

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Industrial IoT: What It Is and the Trends Driving It in 2018

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.

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

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.

: Major players like Cisco , HPE , and Dell led the migration of compute infrastructure to the edge to handle real-time analytics.

: 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