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MPHASIS AI SUPERHIGHWAY

A high-speed, scalable, and secure foundation to adopt AI at scale from experimentation to production with enterprise guardrails.


THE MPHASIS ADVANTAGE

 

next gen data

Faster decision-making,
enhanced customer experiences & optimized operations

Versatile suite of tools, methodologies, integrations and best practices for effective go-to-production of AI solutions.

Improved operational efficiency and service delivery at reduced costs, personalized customer interactions, and high competitive advantage.

Instant and secure access
to cutting-edge AI technologies

Unparalleled speed of scalability

Efficient cloud computing and automation for rapid deployment of AI solutions, and accessibility of AI solutions.


COMPREHENSIVE ARCHITECTURE FOR
WINNING OUTCOMES

 


Mphasis AI Superhighway’s architecture spans versatile planes to deliver comprehensive AI solutions.


HOW WE IMPLEMENT THE MPHASIS AI SUPERHIGHWAY


Our approach to implementing the AI Superhighway is all-encompassing.


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  • • Evaluate current business processes
  • • Identify areas where AI can add value
  • • Understand organization’s current technical capabilities, and identify additional requirements for AI enablement

Define a comprehensive AI strategy aligned with business vision and technology objectives.

  • • Choose a core technology platform.
  • • Architect technology infrastructure for AI superhighway.
  • • Design AI solutions tailored to address specific business needs.
  • • Establish governance for AI initiatives.
  • • Define roles and responsibilities.
  • • Implement policies and procedures for AI ethics and compliance.

Integrate AI tools and technologies for enterprise AI acceleration onto the core technology platform and into existing systems and workflows.

Test the AI solutions to ensure they meet acceptance, performance, and reliability standards.

  • • Roll out AI solutions across the enterprise.
  • • Ensure smooth transition and minimal disruption.

Monitor and refine the AI solutions to ensure ongoing optimization and effectiveness.

HOW MPHASIS AI SUPERHIGHWAY ACCELERATES
USE CASE IMPLEMENTATION

 

Mphasis AI Superhighway accelerates the implementation of AI use cases by providing a robust
infrastructure and streamlined processes. Key elements of this acceleration include:



Pre-built AI Models


The Mphasis AI Superhighway library of pre-built, customizable AI models can be quickly adapted to specific business needs, reducing the time and effort required to develop solutions from scratch.


Automated Machine Learning (AutoML)


AutoML capabilities enable the rapid training and deployment of machine learning models, allowing businesses to experiment with and implement AI solutions faster.


Scalable Cloud Infrastructure


Leveraging cloud computing, Mphasis AI Superhighway ensures that AI solutions can be scaled effortlessly to meet increasing demands — with flexibility and agility.



Continuous Integration and Continuous Deployment (CI/CD)


With CI/CD pipelines AI solutions are continuously updated and improved, facilitating faster iterations and deployments.


Robust Security Protocols


Stringent security measures ensure that AI solutions are deployed safely and securely, mitigating risks and fostering trust among stakeholders.


Comprehensive Data Management


Efficient data integration and management streamline the process of preparing and utilizing data for AI applications, reduce bottlenecks and speed up deployment.

 


Collaborative Platforms


The Mphasis AI Superhighway’s collaborative platforms enable cross-functional teams to work together efficiently, share insights and accelerate the solution development process.

CASE STUDY

Mphasis AI Superhighway successfully scaled adoption of AI/ML for a large bank achieving measurable results.


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Our execution included:

  • 8k+ use cases, of which 600+ are in production, with ~100 of them being GenAI use cases
  • 44+ AI/ML models to drive  value for  revenue  generation and cost & risk efficiencies
  • Optimization of 7k+ apps and 10 AI platforms to accelerate decision making
  • AI projects spanning  across  fraud  detection, email monitoring   &   classification, Responsible AI, core engineering platform innovation, and more

We delivered:

  • 45% productivity improvement with Code Assist LLMs
  • 10% reduction in operations headcount
  • An integrated, cohesive firmwide data mesh
  • 80% of apps transitioned to modern infrastructure  &  65% on private & public cloud