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These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner research publications consist of the opinions of GartnerвЂ™s research organization and should not be construed as statements of fact. 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. The Gartner document is available upon request. was part of a larger research document and should be evaluated in the context of the entire document. This graphic was published by Gartner, Inc. and internationally and is used herein with permission. GARTNER is a registered trademark and service mark of Gartner, Inc. Small and wide data and ModelOps, along with AI trust, risk and security management (AI TRiSM), are emerging trends that are being used to build a resilient enterprise.вЂќ вЂ“ Gartner вЂњThe COVID-19 pandemic exposed shortcomings in the DSML processes that are now being systematically addressed.

A framework for evaluating AI trust, risk and security management (AI TRiSM).

The role of Explainable AI in building trust, confidence and understanding in AI systems.

The role of ModelOps in operationalizing analytics, decision, and AI models.

Read this report to learn more about trends and technologies driving this transformation, including: The democratization of data science and machine learning (ML) and emphasis on operationalization are key to driving digital transformation across enterprises.

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Gartner hype cycle 2021