Teaching machines to interpret data is an important component underpinning technology moving into the future. Technology will enable more complex forms of Artificial Intelligence that will be autonomous in their responses to input. Over the next ten years, the use of this kind of machine learning-based AI are likely to fall into two categories: improvement and exploration.
Improvement of daily life includes managing household tasks, self-driving vehicles, and robotic tasks. AI Exploration and innovative development can accelerate the rate of discovery and science worldwide. This exploration includes new cures, technologies, cells, and planets…
The prospects for autonomous robotic systems such as online sales conversion, customer satisfaction, and operational efficiency are becoming commercially viable. Once financial sustainability is reached, this sector will result in self-sustainability and, therefore growth.
Case example: the Amazon Echo personal assistant has already succeeded as a commercial application of autonomous technology. This voice-controlled speaker works like Apple's Siri or Microsoft's Cortana and responds to verbal requests for information or to play music uploaded from Amazon Music and other services.