Kinetica Delivers GPU-Accelerated Analytics Engine to SoftBank
Kinetica, the insight engine for the extreme data economy, has delivered a GPU-Accelerated Analytics Engine to SoftBank Corp. (“SoftBank”), a subsidiary of SoftBank Group Corp., through Networld Corp., a local Japanese Kinetica distributor.
Traditional big data technologies simply are not capable of handling the extreme data requirements of SoftBank’s business or new technologies they’re employing. The Kinetica engine will provide mission-critical data analysis and visualization across SoftBank’s business and for some of the world’s most exciting technologies, from autonomous transportation to robotics through to AR and VR.
SoftBank will use the Kinetica engine to collect and analyze a variety of historical and streaming data across users, mobile devices, the Internet of Things and emerging technologies to improve network performance and customer services. By using Kinetica’s GPU-accelerated engine, SoftBank will be able to ingest billions of rows of data, conduct advanced analytics, and perform real-time geospatial visualization and queries to generate immediate business insights.
“GPU-accelerated analytics help companies be agile and innovative, rather than getting bogged down by unwieldy data,” said Masataka Osaki, Japan Country Manager, VP Corporate Sales, NVIDIA. “SoftBank has chosen a potent combination of the Kinetica engine on NVIDIA GPUs to accelerate analytics, generate real-time insights and power deep learning.”
As new technologies and data sources proliferate, data has never been as unpredictable and analysis as complex. In the new, extreme data economy, data may be big or small, static or streaming, structured or unstructured, long-lived or perishable, human or machine. Siloed legacy databases built for serial computing just can’t keep up in a world where insights need to be nearly instantaneous.
“They are a stellar example of a tech company embracing and harnessing extreme data,” said Paul Appleby, CEO at Kinetica. “Location data is transformational across every industry and businesses can no longer rely on legacy big data platforms that treat location as a second-class citizen. Telcos need new data engines that combine a GPU database, real-time location visualization and the power of AI in a single solution.”
LEWIS Global Communications
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