Modzy® announces being named as a Sample Vendor in nine 2022 Gartner® Hype Cycles™, including the Hype Cycle for Data Science and Machine Learning, the Hype Cycle for Artificial Intelligence, and the Hype Cycle for Analytics and Business Intelligence.

Modzy is named as a Sample Vendor for ModelOps, AI Trust, Risk, & Security Management (TRiSM), and Edge AI in the Hype Cycle for Artificial Intelligence. Modzy is name as a Sample Vendor for ModelOps and Explainable AI in the Hype Cycle for Analytics and Business Intelligence, and as a Sample Vendor for Explainable AI in the Hype Cycle for Data Science and Machine Learning.

Finally, Modzy is also named as a Sample Vendor for Edge AI in the following Hype Cycles:

  • Hype Cycle for Smart Cities and Technologies
  • Hype Cycle for Public Safety and Law Enforcement
  • Hype Cycle for Consumer Goods
  • Hype Cycle for Utilities
  • Hype Cycle for Digital Grid Transformation Technologies
  • Hype Cycle for Edge Computing

About Modzy

Built by developers, for developers, Modzy solves the hardest problem of using AI at scale by accelerating the deployment and integration of production-ready AI. Modzy is a MLOps software platform supported by a growing community of data scientists, developers, infrastructure managers, and IT leaders interested in a new approach to model operations. Modzy empowers businesses with a central, transparent solution for managing AI, with tools for data scientists to quickly deploy and monitor models in production, APIs and SDKs for developers to easily integrate AI into any application, and governance features for leaders to monitor AI performance, usage, and costs related to AI. With cutting-edge features such as explainability, drift detection, and advanced security, Modzy helps organizations unlock real value from AI.

Gartner, Hype Cycle for Analytics and Business Intelligence, By Peter Krensky, 14 July 2022.
Gartner, Hype Cycle for Artificial Intelligence, By Afraz Jaffri, Farhan Choudhary 8 July 2022.
Gartner, Hype Cycle for Data Science and Machine Learning, By Farhan Choudhary, Peter Krenskey 29 June 2022.
Gartner and Hype Cycle registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are 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.