Internet of Things (IoT) is one of the trends that will shape the future of businesses in 2017. Companies are seeing the opportunity in IoT uses and believe that IoT will enhance customer relationships and drive business growth by improving quality and reliability, as well as reducing costs, and risk. By having the right IoT model in place, some companies will be rewarded with new customers and better insights.
The IoT has many broad definitions but it can be described as a huge network, which connects devices and vehicles using electrical sensors and the Internet. It is a network of interrelated objects and devices such as vehicles and computing devices; embedded with unique identifiers that aid in transferring data over the network without necessarily relying on human-to-human or human-to-machine interaction.
In simple terms, IOT is an interconnection of virtually everything electrical and electronic around us. This is where the trend is driving us in the near future.
The IoT trends to watch in 2017 are:
IoT and Many Mobile Moments
The technologies that have created the Internet of Things aren’t changing the internet only, but rather change the things connected to the internet. More mobile moments (the moments in which a person pulls out a mobile device to get what he or she wants, immediately and in context) will appear on the connected device, right from home appliances to cars to smartwatches and virtual assistants. All these connected devices will have the potential of offering a stream of data that will be used by product and service owners to interact with their customers.
APIs and machine learning libraries will gain prominence for IoT devices:
Manufacturing processes in factories are increasingly using IoT devices to speed up production cycles and improve efficiency. These devices produce enormous amounts of data every day; to use them effectively, it is important to have the right data analysis tools and machine learning models to better understand data and use it for prediction, anomaly detection, classification, and more. It will be interesting to see how ML libraries like scikit-learn are adopted for IoT applications.
IoT will be used more in synergy with AI & 3D printing:
There was a discussion about how self-driving cars will gain prominence in the coming years. The AI in the cars today is quite accurate, but it’s not perfect. The challenge lies in how to better train the algorithms to make decisions in edge cases, like sensing a stray pedestrian or driving in snow. Perhaps, IoT has an answer to this question: by having the vehicles communicating with each other.
3D printing is getting popular in areas such as automotive, healthcare, and the space industry and we have seen a growth of desktop manufacturing and low-cost 3D printers. IoT can provide a way to provide additional quality control using data analytics. Embedded IoT devices will enable 3D printers to track things like temperature and structural integrity, and this data analysis will improve manufacturing processes.
IoT and Connectivity:
Connecting the different parts of IoT to the sensors can be done by different technologies including Wi-Fi, Bluetooth, Low Power Wi-Fi , Wi-Max, regular Ethernet, Long Term Evolution (LTE) and the recent promising technology of Li-Fi (using light as a medium of communication between the different parts of a typical network including sensors).
In 2017, new forms of wireless connections, such as 3GPP’s narrowband (NB)-IoT, LoRaWAN, or Sigfox will be tested. Forcing IoT decision-makers to evaluate more than 20 wireless connectivity options and protocols, which is one step in the right direction of having standards for connectivity.
IoT has a potential to change the way we live: connected vehicles, decentralized manufacturing and augmented reality is just a start. From refrigerators to parking spaces to smart houses, IoT is bringing more and more things into the digital fold every day, which will likely make IoT a multi-trillion dollar industry in the near future.
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