Dataiku: Bringing Data Science to Life

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Presentation Description:

Moving data science projects from design to deployment requires a variety of technical skills and tools. As more people in different roles participate, the potential for delay and miscommunication increases. Collaboration and communication between all project stakeholders is key.
This session, will showcase a model for collaborating on data science projects using Snowflake and Dataiku DSS. You will discover how democratization of data use outside of so-called “traditional” data-centric roles—such as analyst, data scientist, or engineer—can create seamless project collaboration from data access to modeling using machine learning techniques. This session will include:

*The state of data science
*How data science can help you
*The Dataiku and Snowflake value proposition

Presentation Track: Supercharge Your Analytics and Data Science
Presentation Date: November 29, 2020
Presentation Speaker(s): Michelle Lee
Frank’s Comment: Data Science Track here. It maybe interesting.

Overview ITS:

In this session, you will discover how democratization of data use can create seamless project collaboration from data access to modeling using machine learning techniques. After going through the state of data science, how data science can help you, and the Dataiku and Snowflake value proposition, Data Scientists Michelle Lee explains how to augment and optimize data tasks, showing the two platforms in action doing just that.
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