New capabilities include big data pipeline support and IT-specific machine learning
A preview version of the company’s next-generation platform capabilities is now available to select Early Access customers. By leveraging technologies such as Apache Spark, Kafka, and columnar big-data storage in a Lambda-based architecture, Numerify now unites both batch and stream processing techniques to deliver low-latency analytics for a wide set of use cases. The new data pipeline design streams incremental data changes, pulling operational data into a powerful cloud-based data lake that can support large volumes of data. Also being previewed are new predictive analytics, entity extraction, and sentiment analysis capabilities, available in Numerify’s IT business analytics suite.
“Artificial intelligence and machine learning technologies are becoming core to next-generation service management and automation. There is now an even greater need for robust analytics across multiple data sources to uncover areas for automation and consistently measure and manage the quality of service delivery for both manual and automated workflows,” said Stuart Evans, Distinguished Service Professor at Carnegie Mellon University. “I have been impressed with how Numerify’s cloud-based solution fulfills this need for some of the largest and most demanding clients in the world.”
Numerify’s product advancements are driven in part by two recent patent approvals from the United States Patent and Trademark Office around big data stores and metadata. Patent 9,619,535 allows for smart refreshes of data stores, in which reports and dashboards track actual customer usage of data stores. The smart data-store refreshes allow Numerify to support even challenging analytical scenarios in a cost-effective way without sacrificing data freshness. The second patent, 9,098,315, is a design for a metadata-driven web services connector that enables the extraction and processing of data from any cloud data source.
Numerify also has 15 other patents pending in the areas of low-latency analytics of big data stores, analytics of workflow-based service-oriented processes, and metadata-driven approaches to cloud analytics.
“With these technological enhancements, Numerify continues to expand its catalog of intellectual property and successfully augment the value of its analytical applications for innovative Fortune 2000 companies,” said Srikant Gokulnatha, Co-Founder and Chief Product Officer of Numerify. “The company plans to continue leveraging innovative technologies around big-data analytics, machine learning, and AI in its mission to deliver end-to-end business analytics solutions that remain unmatched in the industry.”
Connect with Numerify at the upcoming ServiceNow® Knowledge17 conference, from May 7-11 at the Orange County Convention Center in Orlando, Florida. The company will also sponsor the Gartner IT Operations Strategies & Solutions Summit, which occurs during the same week at the Hilton in Orlando.