GARTNER FORECASTS A BRIGHT FUTURE FOR THE USE OF SYNTHETIC DATA
According to Gartner, “One of the major problems with AI development today is the burden in obtaining real-world data and labeling it so that AI may be trained effectively”1.
Gartner then goes on to say, “Synthetic data addresses the problem of volume and variety for sparse, nonexistent or difficult to get data”1.
The report states that “the vendor landscape is rapidly expanding to meet the demand for more training and test data in AI & Increased adoption of simulation techniques will accelerate this trend”1.
Learn why Gartner anticipates “high” business benefits to the adoption of the use of synthetic data.
What Is the Hype Cycle?
The Hype Cycle is a graphical depiction of a common pattern that arises with each new technology or other innovation. Although many of Gartner’s Hype Cycles are focused on specific innovation profiles, the same pattern of hype and disillusionment applies to higher-level concepts such as IT methodologies and management disciplines.
Each year, Gartner creates more than 100 Hype Cycles in various domains as a way for clients to track innovation maturity and future potential (to see the complete list of this year’s Hype Cycles, go to the Hype Cycle landing page on gartner.com).
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1Gartner Hype Cycle for Privacy, 2020, Bernard Woo, Bart Willemsen, 23rd July 2020.