Improved speech, voice, image and video recognition will change the way we interact with our devices. Over the next few years, we will continue to see vast improvements in the quality and fidelity of speech, voice, image, and video recognition, and our ability to classify results will improve significantly. Cheap and omnipresent sensors and cameras will provide ever-increasing streams of data for processing in real-time. This real-time requirement, paired with cheap and available processing power and storage, will make it much more cost-effective and efficient to process the data at the point of collection and, eventually, to learn and act upon the data locally. We will see these systems widely adopted in industrial automation systems, factory operations, security systems, agriculture, traffic and transportation, and many other domains.
Personal assistants will become more acceptable to us as they become more personalized to our needs and more able to understand the context of our requests, which in turn will enable them to broker an ever wider range of capabilities. Whether conversationally-driven AI assistants end up completely displacing more traditional GUI interfaces to our daily activities.
Beyond current command-and-control style personal assistant systems, improvements in conversational systems will be the catalyst to finally bring robots into general use as household items. Each time you fly much of the journey is run by machine, not the pilot. Self-driving cars and autonomous drones seem inevitable.
AI is being, and will continue to be, quietly adopted by enterprises, allowing them to extract knowledge from all the data that is being generated – and not just the structured data.
AI will continue to move towards taking on decision-making tasks. Automated fleet management, inventory management, and candidate resume screening are but a few examples.