“Responsible artificial intelligence helps achieve fairness, even though biases are baked into the data, gain trust, although transparency and explainability methods are evolving and ensure regulatory compliance, while grappling with artificial intelligence’s probabilistic nature.” “Increased trust, transparency, fairness and auditability of artificial intelligence technologies continues to be of growing importance to a wide range of stakeholders,” said Svetlana Sicular, research vice president at Gartner. Here are the four trends that are driving artificial intelligence innovation, according to Gartner: Hype Cycle for Artificial Intelligence, 2021 This indicates a market trend of end-users seeking specific technology capabilities that are often beyond the capabilities of current artificial intelligence tools. The artificial intelligence market remains in an evolutionary state, with a high percentage of artificial intelligence innovations appearing on the upward-sloping Innovation Trigger. “Innovations including edge artificial intelligence, computer vision, decision intelligence and machine learning are all poised to have a transformational impact on the market in coming years.” “Artificial intelligence 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 artificial intelligence, small and wide data approaches, operationalisation of artificial intelligence platforms and efficient use of data, model and compute resources.
Four trends on the Gartner, Hype Cycle for Artificial Intelligence, 2021 are driving near-term artificial intelligence innovation.
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