Microsoft Technology Licensing, LLC

Sharena Pari-Monasch

Christopher Michael Maloney

Onur Onder

John R Schilling

Jonathan Ko

Andrew Kunz

Jonathan Chung

Daniel M Cheung

Prerana Dharmesh Gambhir

Sarah Ferraro Stein

Thanh Trung Nguyen

Qiong Zhou

Christine Bumpous

Described herein are supervised machine learning techniques for generating a first machine learned model, which receives, as input, values for a set of utilization metrics for a server computer and generates, as output, a service-specific health score for the server computer, and for generating a second machine learned model, which receives, as input, values for the volume of application traffic directed to a group of server computers hosting the service for each of several prior time periods and generates, as output, an application traffic forecast for the group of server computers, for a future time period.

Techniques for generating service-specific server health scores and application traffic forecasts

A method and system for organizing slides by analyzing content and offering alternative solutions for placing content on the slides in an effective and visually interesting organization is provided. The presentation application automatically generates alternative design suggestions for the provided content that effectively utilize the slide space pursuant to analytics performed on the content. Providing alternative design suggestions for organizing content on a slide assists in quickly and easily creating presentations that effectively utilize slide space.

Automatic presentation of slide design suggestions

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San Jose, CA, United States of America

Sharena Pari-Monasch