ML and analytics addressing nationwide COVID-19 impact and recovery
summary
A cloud platform deployed on AWS in five days aggregates hundreds of thousands of anonymized state and public records, runs ML transmission models and mobility analytics, and produces 100+ dashboards for Telangana, Mumbai and Karnataka. Architecture uses Intel processors on Amazon EC2, serverless queries with AWS Glue and Athena, and visualization via Tableau/Mapbox/Power BI. Teams from 17–18 partners build open‑API pipelines; realtime RT metrics, bed/ICU forecasts and containment maps run in production and help expand capacity when Mumbai nears zero available beds.
AI-written summary · about
chapters (8)
- 0:00Start
- 6:33Leading the pandemic response
- 12:36India's COVID-19 AI/analytics data pipeline challenges
- 18:59Idea to solution
- 26:54Critical problems to solve for kept evolving
- 28:15Governance challenges in managing COVID-19
- 30:21Fractal's data to decision process
- 32:09Protect the vulnerable population based on insights from platform
related talks
44mML in Production
24mBuilding Cloud-based Solutions in Healthcare
30mML Platform for Insurance Conglomerate
30mHow uses analytics to improve health outcomes
50mInnovation and data analytics: Solving real-world challenges
18mArchitecting Intelligent Platforms
23mApplying AI and ML in the Current Pandemic World
13mBuilding Scalable AI/ML Platforms for Industrial IoT
