Wipro AWS AI/ML Lab

According to Gartner, artificial intelligence and machine learning (AI/ML) interventions are going to play a big role in an organization’s success, and AI/ML will remain one of the top drivers of infrastructure decisions through 2023. Companies are interested in capabilities such as Cloud migration, MLOPs, SageMaker Feature Store, and Conversational AI. However, many organizations that start with AI pilots struggle to scale and operationalize those initiatives. The Wipro AWS AI Solution team helps customers across industries overcome these challenges and take advantage of AWS SageMaker by providing skilled AWS ML-certified professionals, AI/ML accelerators, a dedicated AWS AI/ML CoE Lab, MLOPs framework, and more. 

Key solution areas

Customer Experience

• Reimagine the customer experience using AI/ML/NLP and conversational agents with Amazon Lex & Polly
• Cognitive case Intake
• Omnichannel support – chat, email, voice/IVR etc.
• Contact center transformation with Amazon connect powered with AWS CCI

Cloud/Platform Migration

• ML model migration (BYOM) from on-premise/SAS etc. to Amazon SageMaker
• MLOPs framework
• Cloud Migration Assist

Demand Forecasting

• Sales/demand forecasting leveraging Amazon Forecast or custom algorithms
• SKU level forecasting

Industrial AI

• Inspect AI
• Document digitization
• Digital marketing
• Wealth management solutions

AWS AI/ML Lab Services

Prototypes – Quick use-case build and demonstration that showcases general capabilities to solve a given problem (1-2 weeks)

POCs – focused, contextual development to demonstrate solution, using customer data, in Wipro AI Lab environments (4-6 weeks)

Pilots – focused, contextual development to demonstrate solution, using customer data, in customer environment (6-8 weeks)

Principles

• Rapid solution prototyping
• Fail-fast philosophy
• Flexible target AI platform

Wipro AI/ML accelerators using AWS capabilities

InspectAI – Wipro’s InspectAI transforms Asset Maintenance tasks with its image-gathering capabilities and predictive algorithms. Using this AWS Cloud solution, enterprises can maximize asset integrity and strengthen resiliency while ensuring worker safety.

Cloud Migration Knowledge Assist – AI powered natural language-based conversational knowledge search engine.

Anomaly Detection – Big Data-driven platform that can ingest transactional data and derive patterns out of it using ML models. Any outlier/anomaly can be highlighted.

Reusable Templates / artifacts – Reusable AWS CFTs for automating ML model lifecycle (event-based model retraining, batch scoring, real-time end-point deployment, model versioning, API gateway deployment, etc.

Wipro AWS AI/ML GTM Themes

Demand Forecasting – For the retail industry and other customers looking for a forecasting solution, specifically customers on SAS forecasting products looking for migration to AWS Cloud product

Cloud Migration Knowledge Assist – AI-based cognitive knowledge assist solution that helps customers migrating to AWS cloud by providing quick access to knowledge artifacts with conversational AI (bot)

Conversational AI – AI contact center intelligence theme focused on enabling AI-based agent assist for contact center modernization customer journey

Model Migration – For customers planning to set up data science lab on Amazon Cloud after or during their migration journey