Table of Contents
IDC MarketScape Figure
Figure: IDC MarketScape Worldwide Machine Learning Operations Platforms Vendor Assessment
IDC Opinion
Overview
Challenges Implementing AI Solutions
Lack of Automation
Cost
Lack of Expertise
What Is MLOps?
Model Serving
Model Registry
Model Tracking
Model Monitoring
ML Pipeline and MLOps
Figure: ML Pipeline and MLOps
IDC MarketScape Vendor Inclusion Criteria
Advice for Technology Buyers
Treat Models as Source Code
Plan for Scale
Choose the Right Vendor for Your Needs
Vendor Summary Profiles
4Paradigm
Strengths
Challenges
Consider 4Paradigm When
Alibaba
Strengths
Challenges
Consider Alibaba When
AWS
Strengths
Challenges
Consider AWS When
Cloudera
Strengths
Challenges
Consider Cloudera When
Databricks
Strengths
Challenges
Consider Databricks When
Dataiku
Strengths
Challenges
Consider Dataiku When
DataRobot
Strengths
Challenges
Consider DataRobot When
Domino Data Lab
Strengths
Challenges
Consider Domino Data Lab When
Google
Strengths
Challenges
Consider Google When
IBM
Strengths
Challenges
Consider IBM When
Iguazio
Strengths
Challenges
Consider Iguazio When
Microsoft
Strengths
Challenges
Consider Microsoft When
SAS
Strengths
Challenges
Consider SAS When
Vendors to Watch
HPE
Appendix
Reading an IDC MarketScape Graph
IDC MarketScape Methodology
Market Definition
Strategies and Capabilities Criteria
Table: Key Strategy Measures for Success: Worldwide Machine Learning Operations Platforms Market
Table: Key Capability Measures for Success: Worldwide Machine Learning Operations Platforms Market
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Related Research
Synopsis