Developing for the Microsoft Band with Charles Stacy Harris III

Jennifer Marsman is a Principal Developer Evangelist in Microsoft's Developer and Platform Evangelism group, where she educates developers on Microsoft's new technologies. In this role, Jennifer is a frequent speaker at software development conferences around the world. In 2016, Jennifer was recognized as one of the "top 100 most influential individuals in artificial intelligence and machine learning" by Onalytica. She has been featured in Bloomberg for her work using EEG and machine learning to perform lie detection. In 2009, Jennifer was chosen as "Techie whose innovation will have the biggest impact" by X-OLOGY for her work with GiveCamps, a weekend-long event where developers code for charity. She has also received many honors from Microsoft, including the Central Region Top Contributor Award, Heartland District Top Contributor Award, DPE Community Evangelist Award, CPE Champion Award, MSUS Diversity & Inclusion Award, and Gold Club. Prior to becoming a Developer Evangelist, Jennifer was a software developer in Microsoft's Natural Interactive Services division. In this role, she earned two patents for her work in search and data mining algorithms. Jennifer has also held positions with Ford Motor Company, National Instruments, and Soar Technology. Jennifer holds a Bachelor's Degree in Computer Engineering and Master's Degree in Computer Science and Engineering from the University of Michigan in Ann Arbor. Her graduate work specialized in artificial intelligence and computational theory. Jennifer blogs at http://blogs.msdn.com/jennifer and tweets at http://twitter.com/jennifermarsman.
Comments
Cognitive Services: Making AI Easy
NOTE: The recording shows the walk-in rotating deck for the first minute, but at time 1:13 it switches to the presentation.
Our Reaction to the News and Announcements Made at Build 2016
@Doctor Who: I have Skype version 7.22.0.109. I see 3 options: a paper clip button to attach something, an emoticon button, and the send button. I click the paper clip button (which expands into several options) and then click another camera button to send an image.
How Azure ML Helped Predict the Results of the NCAA "March Madness" Tournament
@Francesco: Unfortunately, the experiment Damon walk through is not published online.
@David Blundell: My apologies. AzureML is Azure Machine Learning, a tool that allows you to perform enterprise-quality machine learning from a browser. The documentation is at https://azure.microsoft.com/en-us/documentation/services/machine-learning/. "March Madness" is a college basketball tournament that happens every year in March in the United States. It is known for having great upsets (a low-ranked team beating a high-ranked team) so it's popular to create a bracket to predict who will win and proceed to the next level of the tournament. More information at https://en.wikipedia.org/wiki/NCAA_Men%27s_Division_I_Basketball_Championship.
@eugenio: Gracias!
Creating a Silverlight Blog Badge, Part 1: Animation to Catch the Eye
The conclusion of this webcast series is posted now: https://channel9.msdn.com/posts/jennmar/Creating-a-Silverlight-Blog-Badge-Part-2-Countdown-Calendar/.