May Meetup


May 19, 2016, 5:30 – 8:30 PM


About this event

Hi folks, this meetup will be held on Thursday 19th May at Sainsbury's HQ at  33 Holborn, London EC1N 2HT.

Here is the agenda;

Steve Dodson, Founder & CTO at Prelert, talking about anomaly detection using Elasticsearch

• Q&A with Shay Banon, Founder & CTO at Elastic.

If you are interested in speaking at an upcoming event, please contact me on Twitter @YannCluchey.

More details about Steve's talk:

In this talk we'll describe some of the data characteristics which make anomaly detection for real world problems challenging and describe some of the techniques we use at Prelert for anomaly detection. As the complexity of IT systems and the quantity of data people gather increases, proactively managing the health and security of these systems requires increasingly sophisticated monitoring tools. Rule based approaches are either becoming unmanageable or in need of augmentation, and the complexity and scale of the data pose significant challenges. Recent techniques from the fields of Data Mining, such as sketch data structures, probabilistic suffix trees, random forests, robust estimation, fitting "fat-tailed" distributions, proper handling of heterogeneous data types, sequential Monte-Carlo and so on, are all useful for improving the quality and/or scalability of anomaly detection. We¹ll also outline how machine learning-based anomaly detection has been integrated into the Elastic Stack, and how this technology provides insight into machine data.

Dr Stephen Dodson is founder and CTO at Prelert.  Stephen has over 15 years of experience in enterprise systems and software development. He holds a masters in mechanical engineering and a PhD in computational methods from Imperial College, London alongside a CES from École Centrale de Lyon. His academic research focused on computation of large scattering problems using integral equation time domain methods.



Thursday, May 19, 2016
5:30 PM – 8:30 PM UTC


  • Carly Richmond


    Developer Advocate

  • Naoise Rush


    Community Program Associate

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