Upcoming Seminar

Developing IoT Analytics with MATLAB

Location:
Mechelen, Belgium
Venue:
Novotel Mechelen Centrum
Date:
30 March 2017
Time:
13.30 – 17.00

Overview

The combination of smart connected devices with data analytics and machine learning is enabling a wide range of applications, from home-grown weather stations to sophisticated predictive maintenance systems. The potential of Internet of Things (IoT) seems limitless. However, designing IoT systems often requires complex web infrastructure and multi-domain expertise. In this seminar you will learn approaches and techniques available in MATLAB® to tackle these challenges.

Highlights

  • Access and interpret data from IoT sensors and leverage it to build predictive analytics
  • Analyze and process out-of-memory data stored on Hadoop and Spark clusters
  • Prototype your IoT idea with ThingSpeak and scale it up to enterprise and cloud systems

Who Should Attend

  • Engineers, analysts, and data scientists interested in developing analytics
  • Solution architects interested in integrating analytics into business systems
  • Business managers interested in using data analytics to improve design and decision-making

About the Presenter

Ionut Barbu is an application engineer focused on MATLAB and add-on products for data analytics and application deployment. Ionut holds a M.Sc. in Applied Physics from the Eindhoven University of Technology. Before joining MathWorks, he worked at TNO and ASML. His work involved data-driven material and product development.

P.S. This event will also take place in Utrecht, Netherlands on Tuesday 28 March.

Agenda

Time Title
13:30 Registration and welcome coffee
14:00 Introduction
14:10 Sensor data analytics made easy with MATLAB
  • Access, explore, and pre-process data from IoT sensor networks
  • Build a human activity predictive model using machine learning
  • Generate C/C++ code to deploy predictive models to embedded devices
15:00 Break
15:10 Tackling big data with MATLAB
  • Access data in large text files, databases or from the Hadoop Distributed File System (HDFS)
  • Leverage tall arrays to analyze and process data that does not fit in memory
  • Run algorithms on Spark enabled compute clusters
15:50 Break
16:10 How to bring your IoT solution from idea to production
  • Prototype your idea with ThingSpeak
  • Deploy to production systems with MATLAB analytics
  • Scale up your solution to the cloud (e.g. private clouds, Amazon AWS, Microsoft Azure)
17:00 Wrap up and Q&A session