Developing and Deploying Analytics for IoT Systems

The combination of smart connected devices with data analytics and machine learning is enabling a wide range of applications, from home-grown traffic monitors to sophisticated predictive maintenance systems and futuristic consumer products. While the potential of the Internet of Things (IoT) is virtually limitless, designing IoT systems can seem daunting, requiring a complex web infrastructure and multinomial expertise.

Amit discusses how to prototype and deploy an IoT system with data analytics without developing custom web software or servers. The workflow is based on MATLAB® and ThingSpeak™, an analytic IoT platform that can run MATLAB code on demand in the cloud.

Highlights:

  • Conceptual overview of ThingSpeak
  • Collecting and storing sensor data
  • Integrating online analysis and visualization using MATLAB
  • Scaling IoT solutions with analytics

Recorded: 19 Apr 2017

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