FinovateFall 2017 / Kinetica

Presenter Profile:

How they describe themselves: Kinetica is a GPU-accelerated, in-memory analytics database that delivers truly real-time response to queries on large, complex and streaming data sets: 100x faster performance at 1/10 of the hardware of traditional databases. Kinetica’s fully distributed architecture, and simplified data structures lead to more predictable scale out on industry-standard hardware. In-database analytics via user-defined functions (UDFs) open the way for converged AI and BI workloads accelerated by GPUs. Kinetica comes with native geospatial and visualization pipeline for interactive location-based analytics. Organizations use Kinetica to simultaneously ingest, explore, analyze and visualize data within milliseconds to make critical decisions.

How they describe their product/innovation: Financial institutions can use Kinetica to perform risk calculations on demand using the most up-to-the-moment data with sub-second speed, the speed and quality of information gives financial institutions deeper insight into their exposures, enabling them to rapidly adjust positions and reduce risk. Additionally, high-frequency trading firms, traditional asset managers, and traditional lending institutions can use Kinetica to measure risk, spot customer behavioral patterns, and discover up-sell opportunities.

Product distribution strategy: Licensed


Bus. Dev.: Chris Prendergast, VP Alliances,
Press: Michele Nemschoff, VP Marketing,
Sales: Marcus Holm, VP Global Operations,

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