Azure OpenAI Use Case: 3-Week Industry Application POC

Nous Leads the AI Revolution with over 2,000 tailored use cases across various industry verticals, Nous transforms operations and customer experiences in BFSI, healthcare, Government and Public Sector, manufacturing, and retail. Tailored AI solutions from Nous drive efficiency and industry innovation. Customers can choose pre-designed use cases or request customization to meet their unique requirements. Nous’ commitment to addressing industry-specific challenges sets it apart, ensuring customers gain a strategic edge in their journey toward excellence. To leverage Azure for this offering, Nous utilizes Microsoft Azure OpenAI to create tailored AI solutions for all industries.

Key Azure OpenAI Use Cases Across Various Industries

BFSI

• Customer service
• Investment and wealth management
• Fraud detection and prevention
• Credit scoring and lending

Healthcare

• Medical imaging
• Telemedicine
• Drug discovery
• Healthcare administration
• Disease prediction and prevention

Manufacturing

• Design and engineering
• Maintenance and service
• Improved quality
• Production and operations
• Supply chain and logistics

Retail

• AI for inventory management and supply chain
• Dynamic pricing
• Intelligent logistics
• AI for customer experience and personalization
• Demand forecasting
• Automated replenishment

Proof of Concept Program and Outcome

As part of this offering, Nous allows customers to choose a use case from the Industry-wise use case catalog or a use case specific to their needs and creates a POC. This POC demonstrates the implementation of Azure OpenAI deployment and how it can accelerate a business process and improve efficiency.

A Typical POC Program Plan

Week 1

• Identification of AI use case along with the client
• Detailed discussion with the client for the use case and problem statements
• Architecture for the solution
• Define data requirements and readiness

Week 2

• Development of the AI model
• Train the model with data identified in the previous week
• Test the model and fine-tune the same
• Initial demo to the client

Week 3

• Final demo to the client, incorporating client feedback from the first demo
• Document the learning and recommendations for next steps