Top 10 Internet of Things Technologies for 2017 and 2018
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IoT Analytics
IoT business models will exploit the information collected by "things" in many ways — for example, to understand customer behavior, to deliver services, to improve products, and to identify and intercept business moments. However, IoT demands new analytic approaches. New analytic tools and algorithms are needed now, but as data volumes increase through 2021, the needs of the IoT may diverge further from traditional analytics.
While still in its infancy, the Internet of Things (IoT) has a full head of steam and shows no sign of slowing any time soon. From data center monitoring to HVAC and building maintenance to supply chain management and home automation, the connectivity and tracking possibilities are endless. Given the massive amounts of data that IoT will be adding to an already overloaded data stream, organizations will need to ensure they are well positioned to manage the very broad impact IoT will have on business strategy, risk management, as well as a wide range of technical areas like architecture and network design.
"The IoT demands an extensive range of new technologies and skills that many organizations have yet to master," said Nick Jones, vice president and distinguished analyst at Gartner. "A recurring theme in the IoT space is the immaturity of technologies and services and of the vendors providing them. Architecting for this immaturity and managing the risk it creates will be a key challenge for organizations exploiting the IoT. In many technology areas, lack of skills will also pose significant challenges."
This slideshow features the top 10 IoT technologies Gartner has identified that should be on every organization's radar for 2017 and 2018.
Related Topics : Blade Servers, Business Integration, Ethernet, LAN, Network Protocols
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