Nous Azure OpenAI Industry Application : 3-Week POC

Nous leads the AI revolution with over 2,000+ use cases across various industry verticals. In BFSI, healthcare, Government and Public Sector, manufacturing, and retail, our AI solutions transform operations and customer experiences, driving efficiency and industry innovation.

We offer tailored AI solutions, revolutionizing all sectors. Customers can choose pre-designed use cases or request customization to meet their unique requirements. Our commitment to addressing industry-specific challenges sets us apart, ensuring customers gain a strategic edge in their journey toward excellence. To leverage Azure for this offering, NOUS leverages Azure OpenAI to create tailored AI solutions for all industries.

Below is a snapshot of the top use cases of AI across 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 lets the customer choose a use case from our Industry-wise use case catalog or a use case specific to a Customer and creates a POC, demonstrating the implementation of Azure OpenAI and how the same can accelerate a Business Process and bring efficiency improvement.

A typical POC program plan will look like the following:

1st Week:

• 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

2nd Week:

• 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

3rd Week:

• Final Demo to the Client, incorporating Client feedback from the 1st Demo
• Document the learning and Recommendations for next steps