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Advanced In-Database Analytics

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Kinetica rolls machine learning libraries into its GPU-powered database

GPUs are sparking new interest as parallel processing engines for highly scalable database and analytics tasks.
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Kinetica Aims to Broaden Appeal of GPU Computing

The idea behind the UDFs is to let the data scientists continue to write the code, to register the code in the Kinetca database, and then enable data analysts to call that code.
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Kinetica launches in-database analytics via user-defined functions

Kinetica has announced the availability of in-database analytics via user-defined functions
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Kinetica Delivers Advanced In-Database Analytics, Opening the Way for Converged AI and BI Workloads Accelerated by GPUs

Kinetica, provider of the fastest, in-memory database accelerated by GPUs, today announced the availability of in-database analytics via user-defined functions (UDFs). This industry-first capability makes...
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Kinetica Uses GPUs for Advanced In-Database Analytics

One of the things I like about Kinetica is it gives us more of a general-purpose use of the technology
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US Army’s spun-off GPU database gets ready for more matrix operations

We can do some interesting things with advanced analytics; that traction is driving enormous interest from customers,
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Kinetica combines AI and BI

Kinetica adds in-database user functions, allowing ML library calls right from its GPU-accelerated analytics platform
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Kinetica Announces Version 6.0 of GPU-Accelerated Database

If organizations can “democratize” data access and make it easier for advanced BI users to call these libraries, then they can start to get more value from their data
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Kinetica – Converged BI and Machine Learning

It is just a matter of time before the various analytical methods converge – BI, AI, machine learning, prescriptive etc.
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Kinetica Announces Lineup of January Speaking Events with Partners IBM and NVIDIA; Launches New Bay Area Meetup

Kinetica, provider of the fastest, in-memory database accelerated by GPUs, today announced it will present on real-time analytics, GPU-enabled databases, data-centric accelerated computing, and accelerating...
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GPUs: The Key to Cognitive Computing

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Executive Viewpoint 2017 Prediction: Kinetica – The Cognitive Era of Computing Makes Its Debut

Changes in 2017 will provide everything needed for putting cognitive computing capabilities within reach of most organizations.
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Kinetica Recognized by ESG with Delta-V Award for Accelerating Industry Innovation with GPU-enabled Database

Kinetica, provider of the fastest, in-memory database accelerated by GPUs, today announced its recognition by ESG in its Delta-V Awards as one of the top...
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What’s on the horizon for 2017

Real change is coming to real-time intelligence in 2017 with graphical processing units - See more at: http://sdtimes.com/whats-horizon-2017/#sthash.MPtg6GzS.dpuf
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Big Data’s 2017: Can more meta thinking free us from current malaise?

Every year, a wide array of Big Data companies send me their executives' predictions for the upcoming year.
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Big Data Speaks: 10 Industry Predictions for 2017

When clouds get juiced with big GPUs, it will rain insights
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Big Data Industry Predictions for 2017

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