“Increasingly, behavior and event triggers will enhance virtual assistants,” says Van Baker, research vice-president at Gartner. They listen to and observe behaviors, build and maintain data models, and predict and recommend actions. VAs use artificial intelligence (AI) and machine learning (ML) to assist people or automate tasks. For example, chatbots and virtual assistants (VAs) represent a value-added implementation of speech recognition. Gartner also predicts the technologies that are two to five 2-5 years away from mainstream adoption. “Speech-to-text applications have proliferated due to the adoption of chatbots and virtual personal assistants (VPAs) by businesses, and consumer adoption of devices with speech interactions including smartphones, gaming consoles and specifically, VPA speakers.” Consumers and workers increasingly interact with applications without touching a keyboard,” says Matthew Cain, vice-president and distinguished analyst at Gartner. “The effects of speech recognition which according to Gartner has reached the plateau of productivity, can be seen on a daily basis.
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