Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

Analytics for large-scale time series and event data

Ira Cohen (Anodot)
4:35pm–5:15pm Wednesday, 09/28/2016
IoT & real-time
Location: 1 E 12/1 E 13 Level: Intermediate
Tags: real-time, iot
Average rating: ****.
(4.00, 5 ratings)

Prerequisite knowledge

  • A general understanding of machine-learning algorithms for time series data
  • What you'll learn

  • Understand how to build a machine-learning and analytics system for time series data at massive scale
  • Description

    Time series and event data form the basis for real-time insights about the performance of businesses such as ecommerce, the IoT, and web services, but gaining these insights involves designing a learning system that scales to millions and billions of data streams. Ira Cohen outlines a system that performs real-time machine learning and analytics on streams at massive scale.

    Photo of Ira Cohen

    Ira Cohen


    Ira Cohen is a cofounder and chief data scientist at Anodot, where he’s responsible for developing and inventing the company’s real-time multivariate anomaly detection algorithms that work with millions of time series signals. He holds a PhD in machine learning from the University of Illinois at Urbana-Champaign and has over 12 years of industry experience.

    Comments on this page are now closed.


    Kathy Yu
    10/26/2016 6:03pm EDT

    Hi Chaks,

    A recording of all sessions from the conference (barring any speaker restrictions) is available on “O’Reilly Safari”: as a part of the video
    compilation for the conference. Your pass to the conference includes a free 3-month subscription to Safari. Please refer to your conference emails if you need information on activating your free Safari account (or contact for assistance).

    Chaks Sam
    10/26/2016 4:08pm EDT

    I missed this session. Is it possible to listen to recorded session?

    John Jeske
    09/29/2016 6:35am EDT

    Second Amir – might we have a copy of the pres?

    Amir Bar Or
    09/28/2016 12:41pm EDT

    Is it possible to share the presentation ?