2023 Gartner® Hype Cycle™ for Artificial Intelligence

Anonos recognized as a Sample Vendor in Gartner latest Hype Cycle reports for its synthetic data capabilities.

2023 Gartner® Hype Cycle™ for Artificial Intelligence
By Analyst(s): Afraz Jaffri
Gartner Hype Cycle reports track breakthrough technologies poised to revolutionize industries, granting CIOs insights for strategic planning. Acknowledging the impact of Generative AI on many industries, this year’s Gartner Hype Cycle for Artificial Intelligence highlights synthetic data for its potential to tackle challenges AI development.

According to Gartner, “A major problem with AI development today is the burden involved in obtaining real-world data and labeling it. This time-consuming and expensive task can be remedied with synthetic data. Additionally, for specific use-cases like training models for autonomous vehicles, collecting real data for 100% coverage of edge cases is practically impossible. Furthermore, synthetic data can be generated without personally identifiable information (PII) or protected health information (PHI), making it a valuable technology for privacy preservation.”

Synthetic data’s ability to enhance privacy in machine learning (ML) models, reducing development costs and time, and amplifying efficiency, uniquely positions this technology as a catalyst for privacy-conscious AI development.

The Gartner 2023 Hype Cycle for Artificial Intelligence recognizes vendors and their technologies, including Anonos and its synthetic data capabilities.
The Hype Cycle for Artificial Intelligence includes:
  • An overview of the most impactful technologies influencing the AI field;
  • Strategic recommendations for data and analytics leaders;
  • A list of Sample Vendors and use cases.
Hype Cycle for Artificial Intelligence, Afraz Jaffri, 2023. Synthetic data analysis by: Arun Chandrasekaran, Anthony Mullen, Alys Woodward

GARTNER is registered trademark and service marks of Gartner, Inc. and Hype Cycle is is registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. 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 the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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