Analytics
Fuzzy Logix partners up with Kinetica to provide better analytics
Monday, May 8, 2017
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Richard Harris |
Machine learning and predictive algorithms by Fuzzy Logix to be improved by Kinetica's GPU-accelerated analytics.
Fuzzy Logix, Inc., provider of in-database analytics, and Kinetica, provider of a GPU-accelerated database, is announcing a partnership to offer a joint solution that will allow customers of both companies to leverage "high performing advanced analytics with acceleration of 100-500x on 1/10th the hardware over CPU-only based solutions." The joint solution will initially be targeted at the most time-sensitive and compute-heavy applications in financial services, retail, and healthcare, where speed and scale are critical for real-time data insights and competitive advantage.
By combining technologies, Kineticas in-database analytics capabilities will be extended by hundreds of additional GPU-accelerated and highly-parallelized, machine learning and predictive analytics algorithms from Fuzzy Logix. At the same time, those analytic functions will now also be able to take full advantage of Kineticas distributed GPU pipeline via its User Defined Functions (UDFs).
Leveraging GPUs for analytical workloads is on the rise, particularly among financial services, life sciences and retail organizations that often deal in extremely large data volumes with high scaling and real-time processing requirements, said Jim Curtis, Senior Analyst, Data Platforms & Analytics at 451 Research. As such, the partnership between Kinetica and Fuzzy Logix should provide these additional analytical capabilities.
Analytics and data science teams using the joint solution will have access to a rich library of algorithms on a SQL-compliant, in-memory database that leverages the GPUs massive parallelization and brute force compute for real-time analytics. Use cases include computing portfolio risk management, options and equity pricing, product-based inventory optimization, next-likely purchase, prescribing habits of physicians and care gap analysis.
Under the terms of the agreement, the joint solution will be available as a premium offering from Kinetica. The combined offering will make it easy for customers to acquire and get support from a single provider, whether deployed in on-premises, cloud, or a hybrid architecture. The first set of algorithms will be available by the third quarter of 2017.
Fuzzy Logix and Kinetica are presenting and exhibiting at NVIDIA's GPU Technology Conference in San Jose, CA May 8-11. Executives will also be available to explain the architecture and how it will help accelerate use cases at Kinetica booth 431 and Fuzzy Logix booth 200.
By combining technologies, Kineticas in-database analytics capabilities will be extended by hundreds of additional GPU-accelerated and highly-parallelized, machine learning and predictive analytics algorithms from Fuzzy Logix. At the same time, those analytic functions will now also be able to take full advantage of Kineticas distributed GPU pipeline via its User Defined Functions (UDFs).
Leveraging GPUs for analytical workloads is on the rise, particularly among financial services, life sciences and retail organizations that often deal in extremely large data volumes with high scaling and real-time processing requirements, said Jim Curtis, Senior Analyst, Data Platforms & Analytics at 451 Research. As such, the partnership between Kinetica and Fuzzy Logix should provide these additional analytical capabilities.
Analytics and data science teams using the joint solution will have access to a rich library of algorithms on a SQL-compliant, in-memory database that leverages the GPUs massive parallelization and brute force compute for real-time analytics. Use cases include computing portfolio risk management, options and equity pricing, product-based inventory optimization, next-likely purchase, prescribing habits of physicians and care gap analysis.
Under the terms of the agreement, the joint solution will be available as a premium offering from Kinetica. The combined offering will make it easy for customers to acquire and get support from a single provider, whether deployed in on-premises, cloud, or a hybrid architecture. The first set of algorithms will be available by the third quarter of 2017.
Fuzzy Logix and Kinetica are presenting and exhibiting at NVIDIA's GPU Technology Conference in San Jose, CA May 8-11. Executives will also be available to explain the architecture and how it will help accelerate use cases at Kinetica booth 431 and Fuzzy Logix booth 200.
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