target audience: TECH BUYER Publication date: Nov 2023 - Document type: IDC MarketScape - Doc Document number: # US50010523
IDC MarketScape: Worldwide Data Labeling Software 2023 Vendor Assessment
Content
List of Tables
List of Figures
Related Links
Table of Contents
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IDC MarketScape Figure
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Figure: IDC MarketScape Worldwide Data Labeling Software Vendor Assessment
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IDC Opinion
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Overview
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Data Labeling Within the Artificial Intelligence and Machine Learning Life Cycle
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Figure: Artificial Intelligence and Machine Learning Life Cycle
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A Typical Human-Centered Data Labeling Process
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Challenges of Data Labeling
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IDC MarketScape Vendor Inclusion Criteria
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Advice for Technology Buyers
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Scope Your Data Labeling Project Completely
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Focus on Effective Training of Data Labelers
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Evaluate your Data Quality and Accuracy Needs
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Choose the Right Vendor for Your Needs
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Vendor Summary Profiles
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Appen
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Strengths
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Challenges
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Consider Appen When
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AWS
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Strengths
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Challenges
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Consider AWS When
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iMerit
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Strengths
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Challenges
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Consider iMerit When
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Sama
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Strengths
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Challenges
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Consider Sama When
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Scale
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Strengths
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Challenges
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Consider Scale When
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Snorkel AI
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Strengths
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Challenges
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Consider Snorkel AI When
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Superb AI
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Strengths
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Challenges
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Consider Superb AI When
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TELUS International
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Strengths
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Challenges
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Consider TELUS International When
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V7
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Strengths
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Challenges
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Consider V7 When
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Watchful
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Strengths
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Challenges
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Consider Watchful When
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Vendors to Watch
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Akridata
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H2O.ai
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Appendix
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Reading an IDC MarketScape Graph
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IDC MarketScape Methodology
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Market Definition
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Data Labeling Software
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Strategies and Capabilities Criteria
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Table: Key Strategy Measures for Success: Worldwide Data Labeling Software
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Table: Key Capability Measures for Success: Worldwide Data Labeling Software
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Learn More
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Related Research
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Synopsis
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