- 200 Diseases are monitored daily.
- 100+ Terabytes of data are processed a year.
- 400+ Travel itineraries are processed a year.
Every day, BlueDot monitors 200 infectious diseases around the world.
Seven days before the World Health Organization announced the emergence of a novel coronavirus, BlueDot had already sent out the first warning of COVID-19. How did they do it?
Emergency responses have never had a greater need for the ability to detect and prepare for disease outbreaks. Before COVID-19, BlueDot was already helping governments, businesses, and healthcare organizations safeguard lives and livelihoods with their Early Warning System.
This system uses FME to integrate an array of data and feed it to AI for analysis. It detected COVID-19 a week before it hit mainstream news.
Enterprise integration makes it possible.
BlueDot's early warning system depends on a huge volume of data to anticipate the potential spread and impact of nearly 200 diseases.
The data collected comes from various global sources, including government data, official health notifications, health forums, news articles, and remote sensing data. FME is used to collect it in real-time, orchestrating the data processing job to scrape disease-related information from websites.
However, only tracking the disease is not enough to prepare for outbreaks. BlueDot also tracks datasets regarding the movement of people, like flight schedules and historical travel data.
With FME, these two kinds of datasets are integrated and fed into their data warehouse (AWS), where artificial intelligence takes over to analyze the data and detect credible information.
BlueDot forecasted what was coming, and once the coronavirus hit the news, their data intake exploded. They knew they needed an immediate strategy to process it all.
Scaled data processing was the solution to extreme data demands.
When COVID-19 entered BlueDot's system, it dramatically increased their data processing needs.
Every new insight was critical, and BlueDot needed to ensure they would not miss anything.
Using CPU-time pricing (a.k.a. Dynamic Engines) in FME Server, they could use as many engines as needed across multiple machines to manage peaks in processing demands.
Data sharing was just as important. With FME’s support for cloud databases, they delivered data and analytics insights to their clients’ preferred cloud data storage locations, including Amazon S3, ArcGIS Online and Snowflake.
By leveraging FME as an enterprise integration solution, BlueDot could bring data into their global early warning system and keep up with unpredictable data and client demands.
FME Products Used
At a time like this, data is the last thing we should be fighting. With FME you can spend time making decisions with data instead of fighting to make it usable. Get a free FME license for COVID-19 research.