Sisense Hunch, in use with a listed electronics firm to streamline manufacturing quality, leverages advanced neural networks to deliver inexpensive, ultra-fast, and privacy-secured analytics
Sisense, disrupting the BI market by simplifying business analytics for complex data, announced the launch of the patent-pending Sisense Hunch Data Cognition Engine (“Sisense Hunch”) from Sisense Labs. Sisense Hunch ‘learns’ massive datasets and can produce microsecond analytical responses to queries that are 99 percent accurate or better, with a tiny fraction of the cost and storage footprint.
Sisense Hunch represents a new class of big data analytics, data cognition engines, which can be applied to a number of revolutionary applications that were impossible due to latency and cost. Sisense Hunch puts the power of tens of billions of rows of data into a small, portable, cost-effective, and secure Internet of Things (IoT) package – effectively turning sensors, phones, and wearables into supercomputers.
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“Sisense Hunch achieves the impossible, taking large datasets that require massive amounts of computing power and storage, and making them digestible with an edge IoT device,” said Amir Orad, Chief Executive Officer of Sisense. “Once a Sisense Hunch neural network learns data, it doesn’t need any ongoing access to the complete underlying data set, allowing it to achieve lightning-fast, analytical query responses, with minimal costs, while maintaining complete data privacy. That’s what makes it possible to move ‘supercomputing’ to the ‘edge,’ turning IoT devices from data collectors into smart data analyzers.”
Sisense Hunch is currently in testing with multiple Sisense clients, and has been used to streamline efficiencies around quality control at a production facility of a publicly listed electronics manufacturer.
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Before Sisense Hunch, obtaining big data insights through high performance databases was slow and expensive, so they were off-limits to most business users and processes. With Sisense Hunch, massive stores of data are transformed into mere megabytes allowing for microsecond response times and the ability to be placed anywhere, even inside a tiny IoT device.
“Sisense Hunch represents a paradigm shift in how to extract insights from outrageously large data sets,” said Dr. Guy Levy-Yurista, Vice President of Strategic Growth and Innovation at Sisense, and one of the inventors of the technology. “Instead of investing huge amounts of money and effort in an attempt to process big data queries faster, Sisense Hunch condenses immense volumes of data into lightweight neural networks ‘brains’ for quick and easy analysis. These ‘brains’ decipher the patterns hidden in the data, perceiving its deep embedded structure. This means that business users can easily access big data insights, and then these insights can be made available through a host of IoT devices which are available.”
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