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Developing and Deploying Analytics for Internet of Things (IoT)
Submitted by Amit Doshi (@amitdoshi) on Monday, 22 May 2017
Section: Sponsored session Technical level: Intermediate
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.
In this session, 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.
Collecting and storing data on cloud
Integrating online analysis and visualization using MATLAB
Scaling IoT solutions with analytics
Amit Doshi is a senior application engineer at MathWorks India and is key technical advisor and product advocate for “Data Analytics”. Amit has over 10 years of work experience and has previously worked at Suzlon Energy Limited in Pune and Germany, Texas Instruments in Germany, and IIT Bombay. Amit holds a bachelor’s degree in Mechanical engineering and a master’s degree in Mechatronics.