ModelOps Analyst Resources

GARTNER

Panel Discussion: “Use ModelOps for an Effective AI Strategy”
December 9, 2020

ModelOps is One of the Top Strategic Technology Trends for 2021
October 19, 2020

Available for Gartner clients only:

“Innovation Insight for ModelOps”
Farhan Choudhary, Shubhangi Vashisth, Arun Chandrasekaran, Erick Brethenoux, 6 August 2020

Hype Cycle for Data Science and Machine Learning, 2020”
Shubhangi Vashisth, Alexander Linden, Jim Hare, Pieter den Hamer, 28 July 2020

“What Is Artificial Intelligence? Seeing Through the Hype and Focusing on Business Value”
Erick Brethenoux, 17 July 2020

“Use Gartner’s 3-Stage MLOps Framework to Successfully Operationalize Machine Learning Projects”
Shubhangi Vashisth, Erick Brethenoux, Farhan Choudhary, Jim Hare, 2 July 2020

“Getting Started With Machine Learning Monitoring in Production”
Paul DeBeasi, 11 June 2020

“A Guidance Framework for Operationalizing Machine Learning”
Soyeb Barot, 14 May 2020

“Establish Thought Leadership by Guiding Customers Through Their AI/ML Journey”
Kevin R. Quinn, Balaji Abbabatulla, 13 April 2020

“Assessing DevOps in Artificial Intelligence Initiatives”
Carlton Sapp, 21 February 2020


FORRESTER

“No Deploy, No Joy: Leverage ModelOps To Operationalize AI And Machine Learning”
Kjell Carlsson, 28 May 2020

“Introducing ModelOps To Operationalize AI: The Core Capability That Enterprises Need To Deploy, Monitor, And Govern Machine Learning Models”
Kjell Carlsson, Mike Gualtieri, with Srividya Sridharan, Jeremy Vale, 13 August 2020


MCKINSEY & COMPANY

“The Evolution of Model Risk Management”
Ignacio Crespo, Pankaj Kumar, Peter Noteboom, and Marc Taymans, February 2017