I will be giving a talk titled “Anomaly Detection for Predictive Maintenance” at the Global Artificial Intelligence Conference in Seattle on April 27th 2018. If you are going to the conference, please do reach out.
Detecting anomalies in sensor events is a requirement for a wide variety of use cases in the industrial IoT. Examples include predicting failures of HVAC systems and elevators for property management to identifying potential signals of malfunction in aircraft engines to schedule preventive maintenance. When the number of sensors runs into the tens of thousands or more, as is common in large IoT installations, a scalable model for preventive maintenance is needed.
Unlike prediction models for customer churn, inventory forecasts, etc. that rely on multiple sources of data and a wide range of domain-specific parameters, it is possible to detect anomalies for many types of time-series data using statistical techniques alone.
In this session, we will discuss a step by step process for anomaly detection with examples that aid in quick insights for building models for preventive maintenance.
I will be giving a talk titled “Time-series analysis in minutes” at the Global Data Science Conference in Santa Clara on April 2nd at 3:30 PM.
The focus of the talk will be on understand why and how to analyze time-series data quickly and efficiently. You can read the full abstract here.
An interview given as part of this conference is also available at the conference website.
If you are going to the conference and would like to connect, I would be happy to meet with you.
How Big a Deal Is IoT? Much Bigger than Big Data
A quick heads-up that I’ll be participating in a DM Radio podcast on IoT (March 01, 2018) , to talk about IoT and its future. You can listen in on the live podcast at 3 PM Eastern / 12 PM Pacific (and I expect there’ll be a recording available, too). Click here to read more.
The Internet of Things really started humming in 2018, but the best has yet to come. Sure, there were some hiccups along the way, with refrigerators hijacked in massive distributed denial of service attacks, but for the most part, the IoT experience has gone pretty well. What does the future hold? So, so much more! Check out this episode of DM Radio to learn more. Host @eric_kavanagh will interview big data legend Kirk Borne of Booz Allen, and yours truly, Naren Gokul, along with several expert guests!