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 trend1.

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).

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliate in the U.S. and internationally and is used herein with permission.  All rights reserved.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document.  The Gartner document is available upon request from Diveplane.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation.  Gartner research publications consist of opinions of Gartner’s research organization and should not be construed as statements of fact.  Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

1Gartner Hype Cycle for Privacy, 2020, Bernard Woo, Bart Willemsen, 23rd July 2020.

Rush me the report!