Overview
Approaches based on AI/ML remove inefficiencies impacting user experience and enterprise technology performance. The Mphasis AI for Operations service leverages our expertise to model data related to user journeys, system interactions, technology infrastructure and applications for process and performance analysis.
Assessments & Workshops
Our Assessments and Workshops help clients get started with their AI initiatives specific to technology operations. This engagement enables clients to plan and identify the relevant problems which could be solved effectively using AI. Assessments are a fast way of identifying if AI is the relevant technology to leverage for solving a problem. In the workshops, the Mphasis AI experts, SMEs, architects, and data scientists work closely with the client stakeholders to understand technology operations and associated business processes. The engagement includes activities such as stakeholder interviews, assessment and user journey workshop, identification of frameworks and tooling, gap analysis, understanding and assumptions, recommendation of solution, and report-out. The typical assessment and workshops exercise is 3-4 weeks. The outcomes of this exercise are a prioritized set of use cases, recommended solution approaches, frameworks and tooling, reference architecture and required infrastructure.
Algorithm Development and Implementation
Algorithms Development and Implementation is a 2–3 month long engagement, where we bring our AI IPs as well as customizations to solve the specific client problems. Our services are powered by patented and patent pending AI/ML platforms and frameworks such as Optimize.AI and Infragraf. Mphasis IPs consist of 200+ pre-built and customizable Machine Learning, Deep Learning and Natural Language Processing algorithms. Our IPs help clients arrive at actionable recommendations faster and provide measurable results across scenarios. Our experience in AI/ML algorithm development and implementation spans several operations use cases as follows:
- process analysis to improve customer experience
- device health prediction to reduce infrastructure downtime
- complex interdependency analytics to predict cascading effects and prevent interconnected failures
- root cause analysis to identify the cause of failures
- optimize maintenance schedule and service downtimes
- optimize infrastructure incidence management
Sold by | Mphasis |
Categories | |
Fulfillment method | Professional Services |
Pricing Information
This service is priced based on the scope of your request. Please contact seller for pricing details.
Support
For any assistance, please reach out to us.
Contact Us URL: https://www2.mphasis.com/AWS-Marketplace-Support-LP.html