2023 SAS Hackathon winner JaWaRA: Jakarta Water Resource Analytics
Learn how this winning SAS Hackathon team created a decision support system for managing floods in Jakarta based on near real-time IoT data capture and advanced predictive analysis. For their innovative approach to using AI, machine learning and IoT analytics, a panel of judges has named JaWaRA the overall winner of the 2023 SAS Hackathon. Team JaWaRA, celebrating their second overall win in as many years, was selected from among more than 100 teams representing 140 organizations that participated in this year's Hackathon.
The SAS Hackathon brings together hundreds of curious minds for a monthlong, all-digital hack. The competition – produced by SAS, the leader in AI and analytics, and sponsored this year by SAS partner Intel – challenges teams in a host of industries to apply technology to solve real-world business and humanitarian problems.
Working with a SAS mentor, JaWaRA deployed SAS® Viya® – SAS’ cloud-native, massively parallel AI and analytics platform – and SAS Analytics for IoT.
Backstory on the Jakarta project
AI and real-time Internet of Things (IoT) analytics can help smart cities harness a rising tide of data and transform it into better decisions, safer communities and vibrant economies. With climate change, these smart cities face a literal rising tide: Extreme weather has increased and intensified flooding events that threaten lives, property and commerce.
Jakarta, Indonesia’s capital and home to 11 million people, has witnessed this new reality. While the city has a long history of flooding, the last few decades have been especially challenging.
Jakarta sits on wetlands laced by 13 major rivers and borders the Java Sea. More than 40% of its land is below sea level, and groundwater extraction has led to the ground sinking. Combine those conditions with stronger monsoons and higher tides caused by climate change, and the threat is very real.
The Jakarta Provincial Government turned to the annual SAS Hackathon for help. Team JaWaRA (Jakarta Water Resources Analytics) included government data scientists and engineers, along with technology pros from local SAS partner StarCore Analytics.
Using SAS® AI, machine learning and streaming analytics, the team analyzed real-time data on rainfall, water levels and river flow to better predict and mitigate flooding. Its Early Warning System is part of a larger, citywide Flood Control System.
Learn more about the project by joining the SAS Hacker's Hub and checking out the team's post.
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