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Impetus Technologies Unveils New, TensorFlow-Based Deep Learning Feature on Apache Spark for StreamAnalytix

At DataWorks Summit 2017, Company Demonstrates Scalable Image Recognition Application on Apache Spark Using TensorFlow, Enabling a New Generation of Enterprise Applications That Leverage Big Data, Streaming Analytics and Artificial Intelligence

Impetus Technologies is a big data software and services company.

News provided by

Impetus Technologies

Jun 15, 2017, 10:00 ET

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LOS GATOS, Calif., June 15, 2017 /PRNewswire/ -- Impetus Technologies, a big data software products and services company, today announced integration of a new, deep learning capability for its StreamAnalytix™ platform. Based on the TensorFlow™ open source software library for machine learning, this new capability is being demonstrated at the DataWorks Summit 2017 in San Jose, California, and showcases an image recognition application running on an Apache Spark Streaming pipeline on StreamAnalytix. The combination of streaming analytics and deep learning enables a new breed of applications and machine capabilities in industrial IoT, voice analytics and anomaly detection.

StreamAnalytix is a real-time stream processing and machine learning platform that offers a Visual Spark Studio for development and life-cycle management of Apache Spark applications in both streaming and batch mode. By leveraging TensorFlow's data flow graphs, the integration allows data and analytics professionals to deploy deep learning models on real-time data sources.

"Deep learning is a powerful new domain in artificial intelligence with a diverse set of applications in various industry verticals. As an example, image recognition is one of those universal deep learning use cases relevant to everything from the web and consumer social media to our clients in the industrial sector," said Dr. Nitin Agarwal, head of data science at Impetus Technologies. "Recently, we helped one of our large oil and gas clients automatically extract and process valuable intelligence and metadata from millions of complex engineering drawings using GPU deep learning in TensorFlow on Spark. This provides a powerful and fast new capability for reducing total cost of ownership, and improving configuration management, uptime and equipment performance."

For more information, or to see a demo of the new StreamAnalytix deep learning feature, visit Impetus Technologies at DataWorks Summit in booth number 904 or reach out to [email protected].

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: www.impetus.com or write to: [email protected], and follow us on Twitter: https://twitter.com/impetustech and LinkedIn: https://www.linkedin.com/company/impetus.

Media Contact
Meghan Locke
LEWIS
781-418-2434
[email protected]

SOURCE Impetus Technologies

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