20220218-德勤-Gartner®_Critical_Capabilities_Data_and_Analytics_Service_Providers_2022_1页_619kb

Vendors' Product Scores for Data Science and AI/ML Use Case Summary

This data reflects vendor scores for services/products related to Data Science and Artificial Intelligence/Machine Learning, sourced from Gartner's assessment as of December 30, 2021.

Key Observations:

• Several prominent consulting, IT services, and technology companies were evaluated.
• Scores appear to be on a scale of 1 to 3, with higher numbers indicating better capability or performance in the assessed areas.
• Top performers identified:
  • Accenture (Score: 5.0)
  • IBM / NTT Data (Score: 4.5 for IBM, 4.0 for NTT Data)
  • EPAM (Score: 4.0, assuming "EE" translates to 4)
• Other enterprises like Capgemini, Cognizant, Genpact, PWC, Tech Mahindra, DXC, and HCL have scores ranging from 3.0 up to 4.0, suggesting varied levels of capability in the domain.