Join us on March 09 for a new episode of AI42 with Sam Vanhouette focused on "Azure Time Travel".
SESSION DETAILS
The data collected in IoT scenarios are often thought of as a ‘time series”. Through this data it's possible to understand the past and use this data to anticipate the future. But time traveling is never straight forward. That's why in this session Sam will walk you through the processing of time series data and he'll discuss some common roadblocks in time series analytics.
AGENDA
- Explaining what Time Series data is and how it is specific
- Ingestion of data from Azure IoT Hub into different services (listing many integration wise, showing only one)
- How to leverage AzureML to experiment and train models that do Time Series prediction (focus on Experiment & Hosting)
- Explaining the streaming pipeline of Azure Stream Analytics
- Show the integration from Stream Analytics towards AzureML
- If time allows, he will also show PowerBI visualization integrated with Stream Analytics
GUEST SPEAKER
Sam is CTO of Codit and a Microsoft Azure MVP. At Codit, he leads the A.I. incubators team to drive Machine Learning and AI driven projects. He is also driving the Azure IoT Elite partner program with a team of Azure IoT experts. In working frequently together with Microsoft, Sam has extensive experience in building data-driven, integrated enterprise, IoT and cloud-based solutions. He has been heavily involved in several industrial IoT projects with leading brands and he designed the Nebulus IoT Gateway, and helped influencing the design of Azure IoT Edge. Sam is a frequent speaker at national and international events. He is active in the Belgian and European Microsoft communities.