As Group Chief Technology Officer at the National University Health System (NUHS) in Singapore, Prof Ngiam Kee Yuan spends a lot of time thinking about how to apply artificial intelligence and machine learning approaches to healthcare data. In this recent talk at RED2020, Prof Ngiam argues that modern computing architectures and live-stream data are essential for realising the potential of AI in driving better health outcomes and precision medicine. He discusses the current precision medicine initiatives underway in Singapore and the specific frameworks he is developing at NUHS to enable the country’s vision for data-driven healthcare at scale.