Speaker: Danielle Dean

Intelligence Apps Leadership Panel

Adding intelligence to apps is not just for the largest, most global apps out there. Apps of any size can add intelligence. Hear senior leaders and experts across data, machine learning, and analytics discuss why and how to add intelligence into existing and new applications. This session will help guide you through how to think […]

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Data Science for Developers

In this session you will learn about Azure Machine Learning through a comprehensive end-to-end example that he builds during the session and that encompasses: •Problem detection •Algorithm selection •Machine learning model creation and deployment as a RESTful web service •Consumption of the machine learning model The session is intended for engineers, and Dan himself is […]

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Predictive Maintenance in the IoT Era

Predictive Maintenance in the IoT Era

Predictive maintenance is a technique to predict when an in-service machine will fail so that maintenance can be planned in advance. Data-driven predictive maintenance, in particular, is gaining increasing attention in the industry along with the emerging demand of the Internet of Things (IoT) applications and the maturity of the supporting technologies. In this session […]

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