Attendees will learn about the important role that the detection of anomalous patterns plays in the creation and use of applications that empower organizations to act on data as it originates in real time

LOS GATOS, Calif. – Dec 14, 2017 — Impetus Technologies, a big data software products and services company, today announced that it will host a webinar “Anomaly Detection: Real World Scenarios, Approaches, and Live Implementation” on Friday, December 15, 2017 at 1 p.m. Eastern time/10 a.m. Pacific time. Drawing on examples from customers that use Impetus and StreamAnalytix (now known as Gathr), the webinar will explore how the detection of anomalous patterns in data, including network traffic and transactions, enables organizations to detect fraud, shape the customer experience, provide predictive healthcare, monitor energy levels and more.

“Our customers use Spark-based applications to detect and act on anomalies in streaming data faster and with greater accuracy than ever before,” said Anand Venugopal, head of StreamAnalytix (now known as Gathr) at Impetus. “When you have the ability to see and act on any deviation as it happens, you realize the potential of streaming data to change how business is done. Anomalies provide us with the cues we need to help prevent fraud, present just the right offer at just the right time, predict mechanical failures, provide predictive healthcare and make decisions in real-time with confidence.”

Impetus’ StreamAnalytix (now known as Gathr) is an open-source enabled, enterprise-grade, multi-engine stream processing and machine learning platform. It’s also the only platform of its kind that includes a free, integrated development environment (IDE) – Visual Spark Studio – that makes it easy for developers to build, deploy and manage Apache Spark applications easily in a matter of minutes. Apache Spark has emerged as the de facto choice for stream processing, real-time analytics, data science and machine learning applications.

Presented by Ravishankar Rao Vallabhajosyula, senior data scientist at Impetus Technologies, and Saurabh Dutta, technical product manager of StreamAnalytix at Impetus, the webinar will be of interest to developers, data scientists, information technology professionals and business users that work with real-time streaming applications and data. Some of the topics Rao and Dutta will cover include:

  • The importance of anomaly detection in enterprise data, types of anomalies and related challenges
  • Real world use cases of applications that draw on anomalies in streaming data and the business benefits that result
  • Approaches, techniques and algorithms for anomaly detection
  • An example of a use case implementation on the StreamAnalytix (now known as Gathr) platform

To register for “Anomaly Detection: Real World Scenarios, Approaches, and Live Implementation” visit: For more information on StreamAnalytix (now known as Gathr) visit:

About Impetus Technologies

Impetus Technologies is focused on creating big business impact through big data solutions for Fortune 1000 enterprises. The company offers a unique mix of software products, consulting services, data science capabilities and technology expertise. It offers full life-cycle services for big data technology implementations, including technology strategy, solution architecture, proof of concept, production implementation and on-going support to its clients. To learn more, visit: or write to:, and follow us on Twitter: and LinkedIn: