Big Data on Small Devices: Data Science goes Mobile

Yael Garten (LinkedIn)
Mission City Ballroom
This presentation will be streamed live.
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Mobile is already changing everything about the way we access information, and we’ve only begun to experience the impact of the smart devices revolution. Mobile analytics is also very different from web product analytics. With a variety of screen sizes, operating systems, and many other features, the “mobile platform” is in fact a multitude of distinct platforms. How do we recognize and even benefit from this richness and heterogeneity to create amazing products our users will love?
Data science for consumer internet products relies on our ability to effectively analyze and understand ubiquitous computing in terms of a holistic product experience, as individuals consume and create data on mobile and desktop devices in their day-to-day lives. I’ll talk about mobile data science challenges — from product development to data-driven decision making.

Photo of Yael Garten

Yael Garten

LinkedIn

Yael Garten leads a team of data scientists that focus on understanding and increasing growth and engagement of LinkedIn’s 350 million members across mobile and desktop consumer products. She has a deep understanding of how to convert data into actionable product and business insights that impact strategy. Her team partners with product, engineering, design, and marketing to optimize the LinkedIn user experience, creating powerful data-driven products to help LinkedIn’s members be productive and successful. Garten champions data quality at LinkedIn and has devised organizational best practices for data quality and development of internal data tools to democratize data within the company.

Before joining LinkedIn, Yael was at Stanford University, where she completed her PhD in Biomedical Informatics, focusing on information extraction via natural language processing to understand how human genetic variations impact drug response. Yael advises biomedical companies on informatics methodologies to transform high throughput data into insights, and is a frequent conference speaker. She has a PhD from Stanford University School of Medicine, and an MSc from the Weizmann Institute of Science in Israel.

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