900 Non-IT Students Build Forecast Models for Industry & Government
Predictive Maintenance for Solar Panels
Machine Vision for Document Processing
Dengue Outbreak Forecasting
Predictive Maintenance for Industry Plants
Energy Optimization for Chiller Plants
NUS Faculty of Science wanted to develop industry-ready AI talents. There were 2 challenges; enabling their non-IT students with practical AI skills and building bridges between the Faculty and industry.
Terra AI planned and initiated IoT Datathon, where students learn practical AI skills and develop AI solutions to solve industry problem statements. At the end of the datathon, the participants were invited by the companies to further develop their solutions as interns.
Since 2017, Terra AI has conducted 3 Datathons with NUS Faculty of Science, with over 900 participants trained to solve various industry challenges using predictive AI. A number of Datathon alumni managed to secure data science career opportunities at global companies, while a few established their own AI startups, because of this program.
“IoT Datathon is a catalyser for innovation and a breeding ground for the talent of tomorrow. Seeing finalists from different disciplines come together proved once again that diversity wins."
Tommy Leong, Zone President, Schneider Electric
“IoT Datathon is very helpful in helping me understand deep learning concepts. It provides thorough elaboration on building deep learning models. Solving the problem set given provided us realistic perspectives on applying deep learning techniques in real-world scenarios.”
Chandana, Business Analytics Student, working as Data Scientist at San Swee Hock School of Public Health
“Datathon has provided me with space and resources to learn important technical skills from industry experts, that are crucial for anyone who wishes to excel in Data Science or AI.”
Clarence, Science Student, Scholarship recipient of DSO National Laboratories, Singapore’s Defense Research Agency