Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Emotional arithmetic: A deep dive into how machine learning and big data help you understand customers in real time (sponsored by Google)

Chad W. Jennings (Google), Eric Schmidt (Google)
11:20am12:00pm Thursday, September 28, 2017
Sponsored
Location: 1A 04/05
Average rating: *****
(5.00, 2 ratings)

What you'll learn

  • Explore a serverless big data analytics platform that allows you to process text to discern not just the sentiment but also the underlying emotion driving that sentiment.

Description

Doing “algebra” with emotions can lead to new insights about customer behavior. Chad Jennings presents a serverless big data analytics platform that allows you to capture and analyze raw data and train machine learning models using classic data processing techniques combined with modern NLP and machine learning techniques (at big data scale) to process text to discern not just the sentiment but also the underlying emotion driving that sentiment. Chad also explores the foundational psychology behind the platform and leads a deep dive into the system architecture, which can analyze emotional content at scale.

This session is sponsored by Google.

Photo of Chad W.  Jennings

Chad W. Jennings

Google

Chad W. Jennings is a product manager for BigQuery at Google Cloud. Chad came to Google from the startup world. He is an avid skier and surfer. When he’s not working on big things or playing in nature, he’s at home with his wife and two young children. Chad holds a PhD in aeronautics and astronautics from Stanford University.

Photo of Eric Schmidt

Eric Schmidt

Google

Schmidt spends the majority of his time working with existing cloud customers as well as on premise developers who are moving their MapReduce and related data processing workloads to the cloud. Beyond his Google Cloud focus, he has a deep passion for user interaction modeling, data modeling & analytical processing of user behaviors and development experience with .NET, C, JavaScript, Python, and Java.