Gartner predicts that by 2025, low-energy, short-range networks will become the mainstream for IoT wireless connectivity, far outnumbering the wide area IoT network.
Enterprises using this technology, and hope to play the greatest advantages of this technology, need to increase their training investment.
Gardner Research pointed out that the top ten technology of Internet of Things, to quickly understand the users are most concerned about the 10 major Internet of things.
Internet of Things (IoT) technology will expand the existing business model, the new industry model will be springing up springing up as companies continue to challenge the limits of data, analytics and intelligence intelligence. Gartner's recent research report lists 10 of its favorite IoT technologies that will be applied or applied to the organization's infrastructure, security, scale, and performance improvement.
According to Gartner's research, among the top ten IoT technologies that users are most concerned with during 2017-2018 are:
Internet of Things security
2. Internet of Things analysis
3. Internet of things equipment management
4. Low-power, short-distance Internet of Things
5. Low-power, wide area network technology
6. Internet of things processor
7. Internet of things operating system
8. Event stream processing technology
9. Internet of Things platform
10. Internet of Things standards and ecosystems
Internet of Things security
Gartner predicts that with the development of hardware and software, the development of IoT security will become one of the hottest areas, and the shortage of related technologies will gradually be highlighted. Businesses need to start investing in this area to train and recruit relevant technical people in advance. As many of the security issues are caused by the clumsy design, deployment, lack of training, in the near future, companies using IoT technology will invest heavily in these areas.
2. Internet of Things analysis
IoT analysis requires a completely different set of algorithms, architectures, data structures, and machine learning methods. Companies that want to take full advantage of the data and information they get from IoT users have to master new technologies. Widely used and secure IoT architecture will become a platform for knowledge sharing. The widely used analytic framework will become an important weapon for attracting money.
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