Responsible AI, small and wide data, operationalization and efficient resource use will be key to scaling AI initiatives Four key trends have been identified on the Gartner, Inc. “Hype Cycle for Artificial Intelligence, 2021” as driving near-term artificial intelligence (AI) innovation. These trends include responsible AI; small and wide data approaches; operationalization of AI platforms; and efficient use of data, model and compute resources. “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.” The AI market remains in an evolutionary state, with a high percentage of AI innovations appearing on the upward-sloping innovation trigger. This indicates a market trend of end users seeking specific technology capabilities that are often beyond the capabilities of current AI tools. Here are the four trends that are driving AI innovation, according to Gartner:
Continue reading: https://labusinessjournal.com/news/2021/dec/14/four-trends-driving-artificial-intelligence-innova/
Continue reading: https://labusinessjournal.com/news/2021/dec/14/four-trends-driving-artificial-intelligence-innova/
