Gartner Hype Cycle identifies four trends driving near-term AI innovation

According to the latest AI hype cycle from Gartner, the AI market remains in an evolutionary state, with a high percentage of innovations appearing on the upward-sloping early stage, named the'Innovation Trigger'. This finding indicates a market trend of end users seeking specific technology capabilities that are often beyond the capabilities of current AI tools. Meanwhile, smart robots, knowledge graphs, edge AI and digital ethics are among the trends at the'Peak of Inflated Expectations'. "AI innovation is happening at a rapid pace, with an above-average number of technologies on the Hype Cycle reaching mainstream adoption within two to five years," said Shubhangi Vashisth, senior principal research analyst at Gartner. "Innovations including edge AI, computer vision, decision intelligence and machine learning are all poised to have a transformational impact on the market in coming years."