Svetlana Sicular, research vice president at Gartner, stated, “Increased trust, transparency, fairness and auditability of AI technologies continues to be of growing importance to a wide range of stakeholders. “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.” Svetlana Sicular, research vice president, Gartner “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,” stated Vashisth, senior principal research analyst at Gartner, in a press release. Small and wide data approaches enable more robust analytics and AI, reduce dependency on big data, and deliver more complete situational awareness. Responsible AI includes explainable AI, risk management, and AI ethics for increased trust, transparency, fairness, and auditability of AI initiatives Multi-experience AI, composite AI, generative AI, and transformers are examples of this trend Innovation in AI means efficient use of all resources, including data, models, and compute power. AI orchestration and automation platforms (AIOAPs) and model operationalization (ModelOps) reflect this trend
#Gartner hype cycle for artificial intelligence 2021 update#
An update by Gartner analysts to its Hype Cycle for AI 2021 report, prepared by Gartner analysts Shubhangi Vashisth and Svetlana Sicular, identifies four AI megatrends that are underway:Ĭompanies are looking to operationalize AI platforms to enable reusability, scalability, and governance and speed up AI adoption and growth.
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