Data, MLOps, and IoT for the Next-Generation Insurance Industry
Abstract
MLOps is a multi-phase process that leverages the power of large volumes and variety of data, abundant compute on GPU, and open-source machine learning tools to build intelligent applications. MLOps brings two disciplines of different skillsets and priorities, software engineering and data science, together with the clear definition of business objectives. We will look into data management, internet of things (IoT) and how MLOps process can bring forward innovation to production. We will begin with trends in the integrated ecosystem and customer experience design, along with Life and P&C trends in the APAC market today, to the best practices for data management and MLOps, and how these methods can be applied in the IoT and edge computing use case.