SP Orchestration & Automation: Connected Car Analytics with Machine Learning

Event Summary

Connected cars and vehicles are projected to generate and upload to the cloud 25 Gbytes per car per hour of data. This is a massive amount of data collected by a cloud analytics platform and analyzed to find and extract value. Machine learning technology can scan incoming vehicle data for business-affecting anomalies and initiate orchestrated vehicle data-processing policies into the network. These software-driven automated functions expedite anomaly and root cause verification and optimize data transport costs.

In this session, we will overview machine learning in the context of a connected car analytics platform. You will:
  • Receive an overview of the architecture, software components, and data flow
  • Learn about observations on the requirements and development
  • See a brief demonstration of a connected car analytics/machine learning solution
  • Have an opportunity to ask questions of the developers of this solution

Live Webcast April 5th, 2017
8:00AM PT/11:00AM ET/15:00 GMT

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