“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:
In fact, Gartner expects that by 2023, all personnel hired for AI development and training work will have to demonstrate expertise in responsible AI.
SMALL AND WIDE DATA
Data forms the foundation of successful AI initiatives. Small and wide data approaches enable more robust analytics and AI, reduce organizations’ dependency on big data, and deliver richer, more complete situational
“Small data is about the application of analytical techniques that require less data but still offer useful insights, while wide data enables the analysis and synergy of a variety of data sources,” said Sicular. “Together, these approaches enable more robust analytics and help attain a more 360-degree view of business problems.”
OPERATIONALIZATION OF AI PLATFORMS
The urgency and criticality of leveraging AI for business transformation is driving the need for operationalization of AI platforms. This means moving AI projects from concept to production, so that AI solutions can be relied upon to solve enterprise-wide problems.
EFFICIENT USE OF RESOURCES
Given the complexity and scale of the data, models and compute resources involved in AI deployments, AI innovation requires such resources to be used at maximum efficiency. Multiexperience, composite AI, generative AI and transformers are gaining visibility in the AI market for their ability to solve a wide range of business problems in a more efficient manner.
This research is part of the Gartner Special Report “2021 Hype Cycles: Innovating Delivery Through Trust, Growth and Change.” The 2021 Gartner Hype Cycles help organizations to make innovation a core competency and shape and prioritize their approach to innovation delivery.
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