Gartner: Future Of AI, And The Challenges - RTInsights

Machine learning and artificial intelligence are coming close to the peak inflated expectations stage in a hype cycle. In a webinar, Gartner director analyst, Peter Krensky, outlined the current state of machine learning and artificial intelligence, the next five years, and some of the challenges likely to impact adoption, development, and deployment. According to Krensky, ML and AI are coming close to the peak inflated expectations stage in a hype cycle. Augmented and virtual reality have already hit the'trough of disillusionment', which follows the peak, and autonomous vehicles and drones were past the peak, but have yet to hit the bottom of the cycle. That said, there is still a large amount of untapped industries for AI and ML.