Context
In the early days of the pandemic, an AI analytics partner wanted to contribute meaningfully to the fight against COVID19 using AI and analytics. People needed trustworthy, local information amid rapidly changing advisories and uneven reporting.
Approach
- Assembled a small SWAT team to deliver a cloud-based service aggregating publicly available near realtime data.
- Normalized and fused sources into a single feed; generated localized advisories and risk predictions at the city/zip level.
- Pushed concise, mobilefriendly updates to smartphones across the US, UK, and India.
Impact
- Kept users informed with timely local advisories synthesized from disparate public data.
- Provided predictive signals of local infection risk to help individuals and communities make safer choices.
- Operated as a free public service during a period of high uncertainty.