According to Forbes magazine, by 2018, the number of connected devices will reach 11 billion, which does not include computers and mobile phones. The Internet of Things (IoT) will continue to be a hot topic. Big data expert Bernard Marr has talked with Bret Greenstein, IBM's vice president of Watson IoT Consumer Business, to discuss and highlight four major trends in the Internet of Things.
Interestingly, three of these trends are combined with other unique and highly relevant technologies. This confirms the principle that “data is an essential element of digital transformationâ€. It is expected that in the coming year, technologies including the Internet of Things, artificial intelligence (AI), and blockchain will set off a wave of technologies that are related to the collection, analysis, and storage of information.
1. AI will make the Internet of Things smarter and more efficientAI is undoubtedly the most popular vocabulary of the moment, that is, everyone is talking about it, but many people still don't know what it is. However, Greenstein said that 2018 will be a key year for understanding the role of AI, because the "brains" that run the IoT system will be more widely used. As more and more devices are connected and able to communicate with each other, AI (including deep learning, natural language processing, image recognition, and neural network driven decision making) will help them and our mutual understanding.
Greenstein said: "In the early days, you could create the Internet of Things in your home in many different ways, possibly involving a lot of wires and hard coding. Over time, mobile apps are starting to emerge, but it's still an isolated experience. There is no real connection. AI is helping to close this gap. Now, we are seeing car manufacturers, hotels and other companies trying to create more integration experiences and using AI to better understand and interact with people. â€
2. Higher CPU power will be used for "edge calculation"Pushing processing power to the "edge" brings many benefits and opportunities. Previously, front-end elements like cameras and sensors have traditionally been able to passively collect data and process it in the cloud. Greenstein said that further development of this technology is a key trend in 2018. He explained: "Suddenly, not only have cameras that can see images, but also microphones that learn to listen, these are increasingly pushing technology to the edge."
In addition to ensuring that only useful data is returned to the cloud, edge computing can bring other benefits, such as enhanced privacy. Greenstein cited an example of a home care setup system in which a camera or microphone can be trained to look for signs that may indicate that a resident is at risk without invading their privacy. (Media Editor Note: Edge computing refers to the method of processing data physically close to the location where the data is generated)
"In this case, you can use the camera to determine if someone is recovering, whether their gait is normal, or whether their walking speed is slower than normal," Greenstein said. In addition, you can also capture sounds like The sound of broken glass, falling things, or water overflowing. Because the processing is done at the edge, we can keep our privacy, because unless something bad happens, nothing is sent to the cloud."
3. Blockchain adds integrity to IoT transactionsBlockchain and the Internet of Things seem to be mutually supportive in many ways. Blockchain is a distributed and encrypted digital ledgering technology that is ideal for recording the details of millions of transactions that take place between IoT machines. However, until recently, the idea of ​​integration between these technologies was widely discussed. Greenstein believes that although the cooperative companies are not yet listed, IBM is working with customers in “multiple industries†and hints that more details are likely to emerge in 2018.
Greenstein said: "Some people miss the blockchain because they focus on the financial side. This is an obvious use case. In fact, the blockchain involves all IoT data, especially in the supply chain or owner. Moving between, requires all data to be stored in some constant record."
Much of the interaction on the Internet of Things occurs between robots, often with little supervision. Blockchain records provide security because only those with encryption keys can edit or modify the parts they are authorized to use. In addition, the recorded copy is split between multiple (usually thousands) physical locations, so no one can manipulate it through centralized control.
4. The Internet of Things in the manufacturing and industrial sectors has increased significantlyEnhancement is the key to this area, and the vision here is that intelligent connectivity technologies will continue to help skilled humans do manual tasks. Greenstein said: "There is no doubt that the industrial field of the Internet of Things is rapidly developing. At first, everyone thought it was only related to sensors, but now it has reached a level of deep understanding and interaction with people. In a sense, This is a way to provide real-time data and insights to manufacturing operators and machine maintenance personnel."
A large number of technical manuals and process guides have been absorbed by the AI ​​engine to provide real-time assistance. Greenstein explained: "So people will ask questions instead of looking at the manual."
In 2018, we are likely to see this trend develop further, including more external data sets. So in theory, your manual will not only tell you the correct tire pressure, it will also make adjustments based on weather or other operating conditions. Greenstein said: "So we combine the manual with the real-time data and say 'this is the right thing to do now.'"
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