Best Practices in DS on Rapid Model Development & Faster Production Deployment
July 22 @ 7:00 pm - 9:00 pm
Moonsoo Lee, Creator of Apache Zeppelin & Co-Founder/CTO, Zepl
6:30 arrive, register, pizza, network
7:00 ACM intro
7:10 to 8:30-ish talk
7:10 Live stream Click the link to set your PC up and get ready
A key step in the data science workflow is rapid model development in order create, test, and identify the best models to put into production. However, large gaps exist in this workflow, and the data science tool set is rapidly changing to fill those gaps. Large teams and enterprises are quickly moving from using individual siloed notebooks like Zeppelin and Jupyter to wanting to share and reuse models, code and results. Challenges also exist in deploying models into production and model serving using tools like Kubeflow and Tensorflow. We will discuss real-world examples of how companies are solving these problems, and how you can use these best practices in your own workflow.
Moonsoo Lee is the creator of Apache Zeppelin, with more than 300,000 users worldwide who have created more than 6 million notebooks. Moon is also the co-founder and CTO of Zepl, the data science platform that provides enterprise-grade support for Zeppelin and Jupyter notebooks.
Moonsoo created Zeppelin project in 2013 as a open source project and went through few iterations and bootstrapped the project. Project started to get attention and being incubated by Apache Software Foundation on Dec / 2014. During the incubation the project became one of the most popular open source software in open source big data eco-system. Successfully graduated Apache Incubator on May / 2016 and became a top level project, Apache Zeppelin. Now the project is widely used in the data analytics industry.