O’REILLY、INTEL AI主办

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

Best practice of building data science platform in Rakuten

This will be presented in English.

Orchlon Ann (Rakuten), TzuLin Chin (Rakuten)
14:0014:40 Friday, June 21, 2019

必要预备知识 (Prerequisite Knowledge)

  • A working knowledge of engineering

您将学到什么 (What you'll learn)

  • Learn to build hybrid data science platforms on both on-premises and cloud environments, including GPU/CPU customization features

描述 (Description)

Data Science Platform (DScP) is conceived to be a unique platform with a suite of offerings for data scientists, data engineers, and analysts. With the broader and overarching goal of converting data science knowledge to strategic assets, the platform aims to provide an integrated and fully managed development, data access, and knowledge assimilation with dissemination capabilities.

Orchlon Ann and TzuLin Chin explain how in the current setup, DScP has two components—DataLab for development and Knowledge Hub for publishing and sharing knowledge posts. The value proposition of the platform lies in cutting the environment preparation time by 90% and facilitating knowledge discovery and reusability. In the age of AI, DScP will create a new data science culture which will promote data-driven decision making and community learning at Rakuten.

Photo of Orchlon Ann

Orchlon Ann

Rakuten

Orchlon Ann is a data engineer at Rakuten in charge of building the data science platform.

Photo of TzuLin Chin

TzuLin Chin

Rakuten

TzuLin Chin is the data engineer working at Rakuten who originated and lead the team building the data science platform.

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