Overview
Nous’ 3-week AI Proof of Concept (POC) program accelerates AI adoption across BFSI, healthcare, government, manufacturing, and retail. Our AI-powered solutions utilize AWS AI/ML services, including Amazon SageMaker, AWS IoT Core, and Amazon Rekognition, to optimize fraud detection, predictive maintenance, medical imaging, demand forecasting, and automation. This structured approach enables businesses to prototype and test AI solutions before full-scale deployment.
Key AI Use Cases Across Industries
✔ BFSI – AI-powered fraud detection, credit risk assessment, and chatbots using Amazon Lex and SageMaker. ✔ Healthcare – AI-driven medical imaging and disease prediction with Amazon Rekognition and AWS HealthLake. ✔ Manufacturing – Predictive maintenance and quality control using AWS IoT Core and Lookout for Equipment. ✔ Retail – Demand forecasting and dynamic pricing with Amazon Forecast and SageMaker. ✔ Government – AI-driven citizen engagement and service automation using Amazon Comprehend and AWS Lambda.
POC Plan
1️⃣ Week 1: Identify use case, define AI architecture, and assess data readiness. 2️⃣ Week 2: Build and train AI models using AWS AI/ML services, conduct initial testing. 3️⃣ Week 3: Final demo, refine AI models, incorporate feedback, and outline next steps
Highlights
- AI-powered solutions for BFSI, healthcare, retail, manufacturing, and government
- Structured 3-week POC framework to test and optimize AI applications
- Seamless AWS AI/ML integration for scalable, data-driven automation
Details
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