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IBM - Cognitive & Self-Healing IT Infrastructure Management Services

Vendor Analysis

by John Laherty

published on Mar 25, 2021

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Report Overview:

This NelsonHall vendor assessment analyzes IBM's offerings and capabilities in cognitive & self-healing IT infrastructure management services.

Who is this Report for:

NelsonHall’s cognitive & self-healing IT infrastructure management services profile on IBM is a comprehensive assessment of IBM’s offerings and capabilities, designed for:

  • Sourcing managers monitoring the capabilities of existing suppliers of digital services and cognitive & self-healing IT infrastructure management services and identifying vendor suitability for RFPs
  • Vendor marketing, sales, and business managers looking to benchmark themselves against their peers
  • Financial analysts and investors specializing in the IT services sector.

Scope of this Report:

The report provides a comprehensive and objective analysis of IBM’s cognitive & self-healing IT infrastructure management services offerings and capabilities, and market and financial strengths, including:

  • Identification of the company’s strategy, emphasis, and new developments
  • Analysis of the company’s strengths, weaknesses, and outlook
  • Revenue estimates
  • Analysis of the profile of the company’s customer base including the company’s targeting strategy and examples of current contracts
  • Analysis of the company’s offerings and key service components
  • Analysis of the company’s delivery organization including the location of delivery locations. 

Key Findings & Highlights:

IBM provides cognitive and self-healing IT infrastructure management services within its IBM Services division. Cognitive and AI services are provided through IBM Services Platform, which delivers automation, AI, and analytics to manage and optimize IT infrastructure services delivery.  IBM's view is that automation and analytics must be used in partnership, so not just automating but understanding the big data generated from running the IT environment and acting on this data to stop issues in the first instance and working out what to automate next to drive the best outcome.

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