English中文
将人工智能用起来
2019年6月18-21日
北京，中国
Kaz Sato

Kaz Sato
Staff Developer Advocate, Google

Website | @kazunori_279

Kaz Sato is a staff developer advocate on the cloud platform team at Google, where he leads the developer advocacy team for machine learning and data analytics products such as TensorFlow, the Vision API, and BigQuery. Kaz has been leading and supporting developer communities for Google Cloud for over seven years. He’s a frequent speaker at conferences, including Google I/O 2016, Hadoop Summit 2016 San Jose, Strata and Hadoop World 2016, and Google Next 2015 NYC and Tel Aviv, and he has hosted FPGA meetups since 2013.

Sessions

14:00–14:40 Friday, June 21, 2019
ML ops and Kubeflow pipelines
实施人工智能 (Implementing AI), 模型与方法 (Models and Methods), 英文讲话 (Presented in English)
 Location: 紫金大厅B（Grand Hall B)
Kaz Sato (Google)
Average rating: *****
(5.00, 1 rating)
Kaz Sato explains how creating an ML model is just a starting point. To bring the technology into production service, you need to solve various real-world issues such as building a data pipeline for continuous training, automated validation of the model, version control of the model, scalable serving infra, and ongoing operation of the ML infra with monitoring and alerting. 了解更多信息.