Vendor Analysis
published on Mar 02, 2021
Report Overview:
This NelsonHall vendor assessment analyzes Unisys' 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 Unisys is a comprehensive assessment of Unisys’ 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 Unisys’ 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:
This NelsonHall vendor assessment analyzes Unisys’ offerings and capabilities in cognitive & self-healing IT infrastructure management services.
Unisys focuses on cloud analytics, AI, and ML across CloudForte, with AI enabling the platform to enable operations with predictive management (predicting incidents 24 hours before they occur through the identification of trends in data). Through AI-Ops and automation, including Terraform, Ansible, and Puppet, it has 500 routines used for landing zones. When the AI-enabled system tells Unisys an incident will occur, it does a full-loop and triggers its automation, fixing the incident before it happens through the correct remediation.
It also utilizes its library of accelerators and automation artifacts. If, for example, the AI-system triggers, there is going to be a capacity issue, it will trigger its automation to auto-remediate and fix the capacity issue. Unisys aims to create a zero-incidents system for clients and improve the cloud operations experience. Also, it brings AI to clients to solve business challenges.