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    3 Week Proof of Concept AI Use Cases for BFSI

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    Nous leverages AWS AI/ML services to create tailored AI solutions for BFSI. Our AI-powered use cases enhance fraud detection, customer service, credit scoring, and investment management

    Overview

    Nous’ 3-week AI Proof of Concept (POC) program helps BFSI organizations adopt AI-driven solutions to streamline fraud detection, risk assessment, customer service, and investment insights. Using AWS AI/ML services like Amazon SageMaker, Amazon Comprehend, and Amazon Lex, we enable BFSI institutions to enhance security, efficiency, and customer experience.

    Key AI Use Cases in BFSI

    ✔ AI-powered Customer Service – 24/7 virtual support with Amazon Lex and Amazon Connect. ✔ Fraud Detection – Identify fraudulent activities using Amazon Fraud Detector and Amazon SageMaker. ✔ Credit Scoring – Improve lending decisions with Amazon Rekognition and predictive AI models. ✔ Investment Management – Leverage Amazon Forecast for AI-driven investment insights.

    POC Plan

    1️⃣ Week 1: Identify the use case, define problem statements, and design AI architecture. 2️⃣ Week 2: Develop and train AI models using AWS tools, conduct initial testing. 3️⃣ Week 3: Final demo, incorporate feedback, and outline next steps for full deployment

    Highlights

    • AI-powered solutions to enhance BFSI security, automation, and decision-making
    • Structured 3-week POC framework to accelerate AI adoption in financial services
    • Seamless integration with AWS AI/ML services for banking and finance transformation

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

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