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[Keynote] State of Automated Machine Learning in AdTech - Claudia Perlich (Dstillery)
Oct
10
4:40 PM16:40

[Keynote] State of Automated Machine Learning in AdTech - Claudia Perlich (Dstillery)

Claudia Perlich is Chief Scientist at Dstillery (the former Media6Degrees) where she designs, develops, analyzes and optimizes the machine learning that drives digital advertising to prospective customers of brands. She was selected as member of the Crain’s NY annual 40 Under 40 list.

Twitter: @claudia_perlich - Linkedin - Website

 

 

 

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Patient Health Condition Prediction and Monitoring — Yan Zhang (Microsoft)
Oct
10
3:30 PM15:30

Patient Health Condition Prediction and Monitoring — Yan Zhang (Microsoft)

This talk showcases a patient health condition prediction and monitoring system, with goal to perform predictive care on patients and identify the risk factors before the condition become more serious. We illustrate the end-to-end process to build this application, including how the machine learning model is trained and deployed, how to automate the data scoring process, and how to consume these results using a reporting/visualization tool.

Dr. Yan Zhang is a Sr. Data Scientist in Algorithm and Data Science team in data group, Cloud & Enterprise, Microsoft. She builds predictive analytics models and generalizes machine learning solutions on Cloud machine learning platform. Her recent research include cost prediction/fraud claim detection in healthcare domain and predictive maintenance in IoT applications. She is a viewer for book "Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition" published in September 2015.

Linkedin

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AI Startup Battle: world's first startup competition where the jury is an Artificial Intelligence
Oct
10
10:00 AM10:00

AI Startup Battle: world's first startup competition where the jury is an Artificial Intelligence

World's first Startup Battle where selection is made by an Artificial Intelligence. Learn more!

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Alien Knowledge — David Weinberger (Harvard)
Oct
10
8:30 AM08:30

Alien Knowledge — David Weinberger (Harvard)

For 2,500 years, knowledge in the West has consisted of justifiable true beliefs. But humans often cannot comprehend how Deep Learning comes up with its results. This is different from the role played by our traditional instruments of knowledge and poses challenges not just to the uses to which we put what we learn, but also to our idea of what knowledge itself is.

David Weinberg is a senior researcher at Harvard's Berkman Center for Internet & Society. From 2010 to 2014, he was Co-director of Harvard's Library Innovation Lab, and led Harvard Library's Interoperability Initiative. Since Spring 2015, he is a fellow at Harvard's Shorenstein Center for Media, Politics, and Public Policy. (Part of the Harvard Kennedy School.)

David is co-author of the best-seller The Cluetrain Manifesto, which InformationWeek called the most important business book since Tom Peter's In Search of Excellence. He is the author of the critically-acclaimed Small Pieces Loosely Joined: A Unified Theory of the Web and of Everything Is Miscellaneous: The Power of the New Digital Disorder. His latest book, Too Big to Know: Rethinking Knowledge Now That the Facts Aren't the Facts, Experts Are Everywhere, and the Smartest Person in the Room Is the Room, is about how the Net is transforming knowledge and expertise, winner of two international Best Book of the Year awards.

 

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