Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY
Timothy Hazen

Timothy Hazen
Principal Data Science Manager, Microsoft

Timothy J. Hazen is a principal data science manager in Microsoft’s Cloud and Enterprise Data group, where he leads a data science team in the development of customer-facing machine learning capabilities for the Microsoft Azure platform, primarily in the areas of image processing and natural language processing. Timothy has also developed natural language technology used within Microsoft’s Bing and Cortana products. Previously, he spent six years as a member of the Human Language Technology group at MIT’s Lincoln Laboratory and nine years as a research scientist at the MIT Computer Science and Artificial Intelligence Laboratory. Timothy holds an SB, SM, and PhD in electrical engineering and computer science from the Massachusetts Institute of Technology.


1:45pm2:25pm Thursday, June 29, 2017
Implementing AI
Location: Grand Ballroom West Level: Beginner
Secondary topics:  Deep Learning, Vision
Timothy Hazen (Microsoft)
Dramatic progress has been made in computer vision: deep neural networks (DNNs) trained on tens of millions of images can now recognize thousands of different object types. These DNNs can also be easily customized to new use cases. Timothy Hazen shares simple methods and tools that enable you to adapt Microsoft's state-of-the-art DNNs for use in your own computer vision solutions. Read more.