Tuesday 13 Nov 17:30

Anomaly Detection in IoT

Hands On Data Science


Anomaly Detection in IoT

The last couple of years, the amount of devices connected to the Internet has increased dramatically, usually referred to as the “Internet of Things”. Connecting devices opens up opportunities for real-time access and remote controlling, but the access to data from these devices also enables more sophisticated research and machine learning based functionality. Most likely, this data is structured as a time series, and many times both fine-grained and multivariate.

In the IoT domain, there are a multitude of applications for machine learning and AI, ranging from forecasting to segmentation. A common problem is the need to predict uncommon events and it is often so that the cause is unclear. This may include for example equipment breakdowns, fraudulent behavior, health monitoring, etc. All of these are examples of situations where it can be fruitful to look for strange/novel behavior in the data leading up to the event in question.

The session starts with a detailed walkthrough of the problem domain, focusing on different approaches and techniques for anomaly detection, primarily for time series data. Afterwards, the attendees will have a choice of either getting hands-on with one or more of these techniques, or to engage in a discussion on how anomaly becomes relevant in a practical scenario. 

About the Presenters:

Rasmus Thornberg has an education in Engineering Physics from Lund University and has worked for eon, Sony, and Assa Abloy, Rasmus is currently Senior Data Scientist at Sigma IT Consulting.

Mattias Jönsson has an education in Informatics from Lund University and has worked for IBM and Microsoft. Mattias is currently Senior Data Scientist at Sigma IT Consulting.

If you interested in presenting for HandOn Data Science please contact Philippe Wee at philippewee@gmail.com


17.30-17.45 Meet & Greet

17.45-18.30 Introduction to Anomaly Detection

18.30-19.00 Food

19.00-19.45 Hands-on Labs or Group Discussion

19.45-20.00 Wrap-up and conclusions

Sponsored by:

Platinum Partners

Capish100px Axis100px

Premium Partners

Oa100px Softhouse100px Verisure 100x50 Odd hill 100x50 Tetrapak100x50 Advenica horisontal 100x50 Knightec100 Omegapoint100px Qlik100px Refined logo 100x50 Boozt 100x50 Mediaevolution100px Internetstiftelsen 100x50 Kan 100x50


Schneider100px 24hr100px Neo4j 100px U blox100px Ifacts logo partner 100px Crosstech100px Tieto100pxnew Handelsbanken100px Thirdbase100px Myse 100 Playtechbgt100px Hotnew100px Tedkomp100px Stratiteq100pxbl Falconio100px Raygun100px Avensia100px Cybercom 100x50 Relax100px Aveva 100x50 Essiq100px Terranet100px Humanit100px Bimobject100px Pinmeto100px Infotiv 100x50 Upptec 100x50 Storytel100x50 Additude100x50 Lime color 100x50 Purplescout100px Livingit100 Q100x50 Nilex100x50
Sign in