MLOps is becoming a hot topic for operating and maintaining machine learning models to ensure CI/CD and agility in production environments. In this session, Sun Hung Kai Properties will showcase its current position in the machine learning development lifecycle, and how MLOps addresses operational challenges. We will also dive deep into the MLOps architecture and explore how AWS helps implement the MLOps automation pipeline.
29:27Amazon Fraud Detector is a fully managed service that enables customers to identify potentially fraudulent activities and eliminate online crime.
25:40As machine learning becomes mainstream, analysts are increasingly trying to apply it to their data to improve business outcomes.
26:00Learn how you can use AWS machine learning and AI services to address specific business outcomes.
32:32AI is key enabler of digital transformation & businesses must prepare for an AI-led future to solve real-world challenges. Learn how to democratise and build AI for your organisation at critical perfo
29:30Dayta.ai will share how their solution provides shopper analytics and analyses videos in real-time, Cyclops can connect most video cameras to acquire, evaluate and interpret in-store data.
25:55We will share the best practices in each phase of the machine learning lifecycle: scoping, data, modeling, and deployment.