According to Gartner, artificial intelligence and machine learning are most relevant categories in their study that consist of a combination of different tools and procedures.
Artificial intelligence and machine learning are the most relevant categories in the list compiled by Gartner. Both technologies are constituted by a combination of various tools and procedures, such as neural networks and systems designed to understand natural language. In the future, artificial intelligence will be adopted in much greater extent by physical devices such as robots and autonomous vehicles and software.
One of the areas where artificial intelligence will be especially relevant is what Gartner calls “smart applications.” For example, virtual personal assistants that simplify different tasks for the user, so that it gains in efficiency. An application area would be handling the Inbox email, or virtual assistants electronic trading platforms designed to assist customers in purchasing processes.
Over the next 10 years, virtually all applications, programs, and services contain some form of artificial intelligence. Artificial intelligence and machine learning will be integrated into increasing degree in physical objects like autonomous cars, robots, unmanned aerial vehicles manned and consumer electronics.
Another important area is the interaction between objects. At first stage, individual devices will be equipped with artificial intelligence and, in the second stage, these objects begin to cooperate and complement each other.
In addition, Gartner emphasizes the virtual reality and augmented reality as two of the main trends for next year. The research firm predicts that areas of use of virtual reality will experience tremendous growth over the next five years, not only in the consumer segment but also at the business level.
Gartner analysts also address what they call “digital twins,” which would be based on software and physical objects containing a series of sensors model. Thanks to the sensors installed on the physical devices; the digital twin can develop a picture of how physical version works.
The applications include, for example, in a production company, where employees can detect errors and test solutions of the digital version of the machine. Gartner is forecasting that over the next three to five years, hundreds of millions of objects will be distributed with digital twins.
Another technology that Gartner recommends to keep in mind for next year is “distributed blockchain and ledgers.” It refers to a validation bitcoin system transaction or other digital currency, sequentially grouped in blocks. Each block is connected by a chain to the preceding block and recorded a net one-on-one using guarantees cryptographic mechanisms.