A large volume of multimedia data is being created due to the rich emerging multimedia applications and services. The Mphasis AI for Multimedia Analysis service leverages our expertise to capture and model the heterogeneous characteristics of multimedia data. This enables enterprises to engage with their employees and customers through personalized experiences and explore newer business models.

Assessments & Workshops

Our Assessment and Workshops help clients get started with their AI initiatives specific to multimedia data. 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 the multimedia data and associated business process. 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 DeepInsights 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 types of multimedia data. Some use cases are as follows:

• multimedia content indexing, curation, and recommendation
• defect detection of industrial products
• video analytics to detect workplace anomalies