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Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
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 + Hadoop World 2016, and Google Next 2015 NYC and Tel Aviv, and he has hosted FPGA meetups since 2013.

Sessions

16:50–17:30 Wednesday, 10 October 2018
What is ML Ops? Solutions and best practices for applying DevOps to production ML services
Impact of AI on Business and Society, Implementing AI
 Location: King's Suite - Sandringham
Secondary topics:  Edge computing and Hardware
Kaz Sato (Google)
Average rating: *****
(5.00, 1 rating)
Kaz Sato offers an overview of ML Ops (DevOps for ML), sharing solutions and best practices for bringing ML into production service. You'll learn how to combine Apache Airflow, Kubeflow, and cloud services to build a data pipeline for continuous training and validation, version control, scalable serving, and ongoing monitoring and alerting. Read more.