Modzy® announces being named as a Sample Vendor in three 2021 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 within the ModelOps category in all three Hype Cycles, and as a Sample Vendor for Explainable AI in the Hype Cycle for Data Science and Machine Learning.

The Hype Cycle for Data Science and Machine Learning, 2021 examines trends such as the democratization of data science and machine learning (ML) and emphasis on operationalization in driving digital transformation across enterprises.

The Hype Cycle for Artificial Intelligence, 2021 examines the impact of the acceleration of AI adoption to drive digital transformation. The report shares Gartner perspective on how data and analytics leaders can successfully navigate AI-specific innovations that are in various phases of maturation, adoption and hype.

The Hype Cycle for Analytics and Business Intelligence, 2021 examines innovations across the Actionable Business Insights space, including consumer-focused augmented analytics, composability of Data & Analytics ecosystems, and the governance and education required to execute a variety of analytics at scale.

Modzy is ModelOps

Created by developers for developers, Modzy is built to solve the key issues organizations must overcome to realize the full utility and value of their AI investments.

To deliver AI anywhere, you need a ModelOps platform that works everywhere – on premise, in the cloud, at the edge, or hybrid. That’s Modzy in a nutshell. Our powerful collection of APIs and SDKS provide developers an open architecture solution for easy integration into existing tools and systems, the ability to centralize model management, in a way that’s transparent and secure.

Modzy is the missing layer within your tech stack to deploy, govern and secure AI at scale. For the enterprise, Modzy enables deployment anywhere you need AI, with powerful tools to manage costs, usage and security.

We added explainability for one reason: getting users to adopt AI solutions can be difficult if they don’t understand how a model works or worse, don’t trust the outcomes. What’s more, many solutions on the market today only offer “explainability” understandable to data scientists. With dashboards to clearly explain why a model made a decision or prediction, you also gain the ability to give feedback around the recommendation, creating a new labeled dataset for model retraining. For certain models, you can also leverage our patent-pending explainability framework that’s five times faster than the other open source solutions in use today.

Easing the way forward is Modzy’s greatest asset for organizations ready to capitalize on their AI efforts now, and teams that are just getting started. Schedule a demo to learn more.

Gartner, Hype Cycle for Analytics and Business Intelligence, By Austin Kronz, Peter Krensky, 29 July 2021.
Gartner, Hype Cycle for Artificial Intelligence, By Shubhangi Vashitsth, Svetlana Sicular, 29 July 2021.
Gartner, Hype Cycle for Data Science and Machine Learning, By Farhan Choudhary etc., 2 August 2021.
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