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The Internet of Things refers to several devices connected to the internet globally. Betterment comes when individuals are interconnected to each other and form a closed circle, along with the easy and remote access to the individual gadget and appliance. In the future, there is more transformation and several key areas are involved here.
In the present era, each and everyone is concerned about the security of the confidential data and the gigantic concept of the Internet of Things is generating more than ever before. A year ago both the IoT and Big Data are intersected in such a manner to collect, analyze and also make sense of the IoT concerned data. Now, the industry has move forwarded into a new concept of figuring out the authorized person who gets access to the confidential data, how the data can be used and who owns it. About only one percent of the IoT data is used by today and hence it is little difficult to determine which data is valuable to drive out the meaningful results.
Each and every day the Internet of Things security incidents tend to increase. With the aid of the concepts of Artificial Intelligence and Machine Learning, the IoT businesses have taken a more proactive approach. Integrating of both IoT data with the Artificial Intelligence and machine learning technologies will enable the organizations to predict and prevent the attacks before they happen.
Today, the devices which are designed by the different manufacturers are integrated to work together including the device operability has become the major steam. This is due to the several standards such as Open Connectivity Foundation, OPC UA in the industrial space including the OMA LwM2M for the device management. The devices can both send and receive common data to each other. Hence, the IoT platforms can apply the policies and the actions are taken based on the data being shared.
At present, the availability of Low power wide area networks is more and at the same time, it is affordable too. Generally, the lower power devices use the little amount of data and there is no any need to wait for the charge which is based on the amount of data used per device. On the other side of the flip, the charge is based on the business delivered outcome.
By the end of the year 2018, most of the automotive organizations will commit to a certain percentage of the fleets which is being used as the part of the ride-sharing service. Some of the folks will invest in the existing ride-sharing services while the others will introduce their own branded offerings. For example, the bike sharing services are exploded as the multi-modal transportation and it is convenient and cost-effective too.
There is an enhancement of growth in the Internet of Things and it is the major reminder in the business that needs to tackle all the challenges of delivering the reliable connected services and also gaining more value from the Internet of Things data.