- pursuing bright town objectives, local government and nbsp in Jakarta, teams with SAS partners
- Real-time data analysis on rainfall, water levels, river flow, and flooding to predict & nbsp
Smart cities can use a growing tide of data to make better decisions, safer communities, and vibrant economies with the aid of AI, real-time networking, the Internet of Things( IoT ), and analytics. These smart cities are literally facing a rising tide brought on by climate change: Severe weather has intensified flood events that endanger people’s lives, house, and business. & nbsp,
This new fact has been seen in Jakarta, the capital and residence of 11 million people in Indonesia. Although flood has a long history in the area, the past few years have been particularly difficult.
Jakarta is situated on lakes that are bordered by the Java Sea and 13 key streams. More than nbsp, 40 % of its territory is below sea level, and water extraction has caused the earth to sink. The risk is very true when you combine those circumstances with stronger downpours and higher tides brought on by climate change.
The annual SAS Hackathon gathers hundreds of individuals for a month-long cab against this gloomy landscape. Teams in a variety of industries are challenged to use technology to address real-world enterprise and philanthropic issues in the competition, which is this year sponsored by SAS partner Intel.
Out of more than 100 teams representing 140 organizations that & nbsp took part in this year’s hackathon, a panel of judges selected JaWaRA( Jakarta Water Resources Analytics ) as the overall winner. & nbsp,
According to Einar Halvorsen( exposure ), Global Hackathon Program Lead at SAS,” Team JaWaRA and its early warning system are a great example of creative individuals using AI and superior analysis to address major problems.” That is the main focus of the SAS Hackathon. Groups use data to make better choices that enhance the lives of people in their workplaces, areas, and the wider world. Happy birthday, Team JaWaRA!
collaborating with a SAS mentor, JaWaRA & nbsp, deployed @ nBsP, SAS ® Viya ® – SAS ‘ cloud-native, AI and analytics platform, and SAS Analytics for IoT. In order to better identify and lessen flooding, the group analyzed real-time data on snowfall, water levels, and river flow. Its early warning system is a component of the larger, statewide disaster control system, nbsp.
Government statistics scientists, engineers, and engineering experts from StarCore Analytics, a nearby SAS partner, were all part of Team JaWaRA.
Culture change has increased the risk, speed, and intensity of flooding in cities and regions all over the world. Governments like Jakarta are taking steps to better identify, handle, and mitigate flooding to meet this growing threat, according to Amir Toha, co-founder of StarCore Analytics. These initiatives” save lives, safeguard home, and help business.” IoT analytics and AI & nbsp are crucial tools for effectively combating climate change in Indonesia and other countries.
StarCore Analytics and the neighborhood state organizations in Jakarta have worked well together. A group of data scientists from the Special Capital Region of Jakarta and StarCore also took home the total prize at the SAS Hackathon next year.
To optimize the distribution of COVID – 19 relief to more than 64 million micro, small, and medium enterprises( MSMEs ), that team used SAS Viya and its AI and machine learning and nbsp capabilities. These Enterprises, which make up 97 % of Indonesia’s labor force, are what power both the local and national economies.