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  • February 20, 2019
    1:00 pm - 4:00 pm

This Data Lab will be all about Anomaly detection (AD). Anomaly detection is the discovery of unexpected or interesting events, carried out by analyzing outliers or atypical data points in a dataset.

Anomaly Detection

Anomaly detection as an activity piggybacks on a wide variety of underlying machine learning techniques – e.g. classification, clustering and distribution models. This means that there are a vast number of options for carrying out anomaly detection. As a result it is an area of machine learning that is both fascinating and challenging.

In a GOC context a SMALL number of applications  could include (but this list is almost endless!)

  • Fraud detection
  • Financial & operations auditing
  • Auditing data for data quality improvement
  • Highlighting in real time critical issues
  • Making operations more efficient by improving / automating decision making
  • Data security
  • Forecasting events
  • Image processing
  • Quality Assurance (e.g. in text data)
  • Damage detection
  • etc, etc, etc

We encourage you to think about how AD might be helpful in your specific job role / context and bring along some examples that we can explore together as a group.

The agenda for the day will be:

  • 1:00 pm – meet, greet and chat
  • 1:15 pm – welcomes and updates
  • 1:20 pm – AI in the news & discussion
  • 1:45 pm – 4:00 pm (with a break in the middle) – presentation on AD and a general discussion on application to specific examples from the attendees

For a first time attendee the event is free (up to 3 people from new organization). For other participants a subscription is required BUT as we are still setting up our registration process please just register for now and we will sort that out later on.



130 Albert St, Ottawa, Ontario, Canada, K1P 5G4

Post Author: Stephen Davies

Stephen is the CEO of DAVHILL Group, a Business Intelligence and Data Analytics company based in Ottawa, Ontario.

He has more than 25 years of experience working in both public and private sectors. Early in his career in operations management he started to do data analysis and never quite escaped.

With an academic background in Physics and Engineering he has worked in semiconductor and OEM manufacturing as an engineer and supply chain director. As a Business Intelligence and Process Transformation consultant he seems to spend most of his time either playing with aircraft in the aviation industry or with the Federal Canadian Government.

As the CEO of the DAVHILL Group, Stephen's main focus is to make data real and useable for everybody. DAVHILL specializes in Business Intelligence, Artificial Intelligence and Machine Learning systems implementation and is delighted to provide training courses to the Data Action Lab.