![]() ![]() ![]() The AI market remains in an evolutionary state, with a high percentage of AI innovations appearing on the upward-sloping Innovation Trigger (see Figure 1). “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.” “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. ![]() These trends include responsible AI small and wide data approaches operationalisation of AI platforms and efficient use of data, model and compute resources. Hype Cycle for Artificial Intelligence, 2021 are driving near-term artificial intelligence (AI) innovation. Responsible AI, Small and Wide Data, Operationalisation and Efficient Resource Use Will Be Key to Scaling AI Initiativesįour trends on the Gartner, Inc. ![]()
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