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Community Blog How Do Indonesian Developers Use AI to Tackle Weather-Related Production Problems?

How Do Indonesian Developers Use AI to Tackle Weather-Related Production Problems?

Let's meet the teams of Salt Bae and Monsoon and see how they use AI and cloud computing to solve weather forecast-related problems.

Meteorological changes could affect many aspects of people’s lives. Accurate weather forecasting can help different industries prepare for resource allocation in time to avoid financial losses caused by fickle weather.

To encourage developers to use AI and cloud computing as well as their innovation to tackle real world problems with weather forecast, Alibaba Cloud launched the Global AI Innovation Challenge - Intelligent Weather Forecast for Better Life, with developers from 2520 teams from 36 countries and regions participated. Among them are Salt Bae and Monsoon from Indonesia, who leveraged Alibaba Cloud technologies to build solutions regarding salt production and fishing. Let's hear the stories from them in the video below.

About Alibaba Cloud Global AI Innovation Challenge

The Global AI Innovation Challenge 2021 showcased various projects related to crop production predictions, global flight delay predictions, UAV-based wildfire detection and many more to highlight the value of AI-powered weather forecasting and green innovations.

The Global AI Innovation Challenge Series 2021 - Intelligent Weather Forecast for Better Life, as a part of Project AsiaForward, provided a platform that brought 2520 teams from 36 countries and regions together. Participants worked in tandem to develop innovative solutions enabled by Alibaba Cloud technologies, including cloud infrastructure, AI and machine learning, to analyze the interplay between meteorological changes and various aspects of life and, to improve human life.

The intent at Alibaba Cloud is to constantly connect technologies, intelligence, and developers worldwide to change the word for the better.

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