The Internet Of Things (IOT) Will Be Massive In 2018: Here Are The 4 Predictions From IBM
VP of IBM's Watson IoT Consumer Business, who highlighted four key trends. Interestingly three of those trends were around convergence with other distinct yet highly corelated technologies. This underlines the principle that data is the fundamental ingredient of digital transformation. The technologies predicted to make big waves in the coming year – including IoT, artificial intelligence, blockchain and edge – are all methods of collecting, analyzing and storing information.
AI will make the IoT smarter and more productive to work with
Artificial Intelligence (AI) is undoubtedly the buzzword of the moment – everyone is talking about it but a lot of people still aren’t quite sure what it is. According to Greenstein, however, 2018 is the year that understanding of its role as the brain running IoT systems will spread. As more and more devices become connected and capable of speaking to each other, AI – deep learning, natural language processing, image recognition and neural-network driven decision-making – will help them to understand each other, and us.
“In the early days you could do IoT in your home in a lot of different ways and there were a lot of wires and a lot of hard-code – mobile apps came later, but it was still an isolated experience that doesn’t really feel connected”.
“AI is helping to bridge that gap – now we are seeing auto makers and hotels and other companies trying to create more integrated experiences and using AI to better understand and interact with people.”
AI will make the IoT smarter and more productive to work with
Artificial Intelligence (AI) is undoubtedly the buzzword of the moment – everyone is talking about it but a lot of people still aren’t quite sure what it is. According to Greenstein, however, 2018 is the year that understanding of its role as the brain running IoT systems will spread. As more and more devices become connected and capable of speaking to each other, AI – deep learning, natural language processing, image recognition and neural-network driven decision-making – will help them to understand each other, and us.
“In the early days you could do IoT in your home in a lot of different ways and there were a lot of wires and a lot of hard-code – mobile apps came later, but it was still an isolated experience that doesn’t really feel connected”.
“AI is helping to bridge that gap – now we are seeing auto makers and hotels and other companies trying to create more integrated experiences and using AI to better understand and interact with people.”
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