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