The AI for Industry Verticals service leverages a large repository of proprietary modules built on Mphasis patented cognitive computing platform to solve enterprise use cases that are industry specific. These proprietary modules are trained on industry specific data. We can assess industry specific requirements and custom-build solutions to serve those unique needs. The service leverages Mphasis' deep understanding of industry specific data, customer needs, and workflows.

Assessment & Workshops

Our Assessment and Workshops help clients get started with their vertical specific AI initiatives. This engagement enables clients to plan and identify the relevant business 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 business problem. In the workshops, the Mphasis AI experts, SMEs, architects, and data scientists work closely with the client stakeholders to understand the system and data. 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 framework such as DeepInsights, PACE-ML, HyperGraf, Autocode, InfraGraf, and EON. Mphasis IPs consist of 200+ pre-built and customizable Machine Learning, Deep Learning and Natural Language Processing algorithms. Our IPs helps clients arrive at actionable recommendations faster and provide measurable results across scenarios. Our experience in AI/ML algorithm development and implementation spans several industries and use cases as follows:

• lead identification for educational loans, bank loans, vehicle loans
• product recommendations for retail, e-commerce, banking
• customer churn predictions for telecom, newspaper, banking, mobile, insurance, e-commerce
• customer review analysis for restaurants, airlines, mobile applications