Ming Yuan
Technical Architect, Zurich North America
Ming Yuan is the technical architect of Cloud and Analytics at Zurich North America. He has extensive experience in designing applications and data architectures and implementing big data applications. At Zurich NA, Ming is responsible for supporting machine learning and predictive analytics initiatives through managed cloud architecture and strategy.
Past sessions
Zurich North America is one of the largest providers of insurance solutions and services in the world with customers representing a wide range of industries from agriculture to construction and more than 90 percent of the Fortune 500. Data science is at the heart of Zurich's business with a team of 70-data scientists working on everything from optimizing claims-handling processes to protecting against the next risk to revamping the suite of data and analytics for the customers.
In this presentation, we will discuss how Zurich North America implements a scalable self-service data science ecosystem built around Databricks to optimize and scale the activities in the data science project lifecycle and integrates the Azure data lake with analytical tools to streamline machine learning and predictive analytics efforts.
Learn how Zurich North America:
- Uses integrations between Spark, R/Python/ML tools, and the Alation Data Catalog to enable easy data exploration (with descriptions, lineage, and fast query execution), data transformation, and model building
- Leverages Databricks/Spark as foundation of the end-to-end architecture from data ingestion to data curation to developing ML/analytical models
- Adopts cloud services, containerization technologies, and DevOps processes to operationalize the models
