
Smart Living Hackathon
FOR: PUBLIC
In partnership with StarHub and OCBC, with collaboration of Google Assistant and SPH, this Hackathon aims to reinvent the way we live, and get things done faster, easier and more efficiently!
FOR: PUBLIC
In partnership with StarHub and OCBC, with collaboration of Google Assistant and SPH, this Hackathon aims to reinvent the way we live, and get things done faster, easier and more efficiently!
FOR: PUBLIC
Come hear the new announcements fresh from Google I/O, and learn how to process unevenly spaced time series data. This event is most suitable for Android and Web developers.
FOR: LEVEL3 MEMBERS ONLY
Join us for three days of fun-filled, hands-on hacking where you will team up with Microsoft software development engineers, and community peers to learn how to implement Azure IoT and high scale data workloads in the cloud.
Explore about decentralised data exchange protocol that lets people share and monetise data while guaranteeing control, auditability, transparency, and compliance to all actors involved.
FOR: PUBLIC
Join us as Alyssa Ong, Microsoft Technical Evangelist, share about the latest and most popular data science tools by Microsoft, such as the Data Science Virtual Machine, Azure Machine Learning Workbench, Cognitive Services and more. and many more!
FOR: PUBLIC
Find out how Rolls-Royce has spotted abnormality in sensor data, explored flight patterns that cost fuel, and used big data analysis to improve an airlines awareness of the challenges to safe flight.
FOR: PUBLIC
Learn about successful A.I. use cases, challenges, and lessons from those who are making it happen.
FOR: PUBLIC
Data centralized exchange is the future for businesses. Come join the team from DEX and BigchainDB in unveiling Ocean Protocol - a decentralised data exchange protocol that aims to use blockchain to unlock the world's data in a secure, transparent way and allow AI practitioners to create more value with access to data!
FOR PUBLIC
You're invited to City.AI's third event in Singapore, where the importance, implications and handling strategies for Model Bias in AI will be discussed.