Data Science and the Internet of Things

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In collaboration with the Brussels Data Science Meetup (http://www.meetup.com/Brussels-Data-Science-Community-Meetup/)!

Agenda

• 18:30 - updates from the workgroups of Brussels Data Science

• 19:00 – How smart does the Internet of Things need to be? by Frederik Santens (http://www.meetup.com/Brussels-Data-Science-Community-Meetup/members/97805912/)

• 19:30 – Semantic Annotation and Reasoning for Sensor Data by Erik Mannens (http://datasciencebe.wordpress.com/2014/10/18/meetup-iot-internet-of-november-20th-2014/be.linkedin.com/in/erikmannens), Prof. PhD. MEng. MSc.- Prof. on Big Data Semantics @ iMinds-MMLab

• 20:15 – Presentation – Prof. Ann Nowé (https://ai.vub.ac.be/members/ann-nowe), head of the VUB ARTIFICIAL INTELLIGENCE LAB (https://ai.vub.ac.be/).

• 21:00 – Round Tabel Q&A & Wrap up Philippe Van Impe (http://datasciencebe.wordpress.com/2014/10/18/meetup-iot-internet-of-november-20th-2014/be.linkedin.com/in/pvanimpe/)

• 21:30 – Networking in KultuurKaffee (http://www.kultuurkaffee.be/en/kaffee)

Abstract

The Internet of Things (IOT) will soon produce a massive volume and variety of data at unprecedented velocity. If "Big Data" is the product of the IOT, "Data Science" is it's soul.

Let's define our terms:

• Internet of Things (IOT): equipping all physical and organic things in the world with identifying intelligent devices allowing the near real-time collecting and sharing of data between machines and humans. The IOT era has already begun, albeit in it's first primitive stage.

• Data Science: the analysis of data creation. May involve machine learning, algorithm design, computer science, modeling, statistics, analytics, math, artificial intelligence and business strategy.

• Big Data: the collection, storage, analysis and distribution/access of large data sets. Usually includes data sets with sizes beyond the ability of standard software tools to capture, curate, manage, and process the data within a tolerable elapsed time.

• We are in the pre-industrial age of data technology and science used to process and understand data. Yet the early evidence provides hope that we can manage and extract knowledge and wisdom from this data to improve life, business and public services at many levels.