Daniel Raskin talks with Lisa Martin & Peter Burris at Big Data SV 2018 at the Forager Eatery in San Jose, CA.
#BigDataSV #theCUBE
https://siliconangle.com/2018/03/15/gpus-behind-the-scenes-of-digital-transformation-bigdatasv/
GPUs behind the scenes of digital transformation
As entire industries announce digital transformation initiatives leveraging big data, many companies are working behind the scenes to enable these success stories. Moving the computation of big data from traditional central processing units to speedier graphics processing units in support of massive parallel computing makes big data far more accessible throughout an organization, according to Daniel Raskin (pictured), chief marketing officer of Kinetica DB Inc.
“You’re using not just the technology of GPUs, you’re trying to operationalize it. So how do you actually bring the data scientist, the [business intelligence] folks … all together to actually create a unified operational process?” Raskin asked.
Raskin spoke with Peter Burris (@plburris) and Lisa Martin (@LuccaZara), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, at the BigData SV event in San Jose, California. They discussed the challenges in marketing GPU technology that drives big data innovation from behind the scenes.
The engine behind the scenes
Even with the excitement around big data innovation, enterprise-ready marketing computing solutions that enable the transformation is a challenge. Rather than appealing solely to developers, Kinetica expanded its marketing campaigns to include top-down use case language.
“When we were looking at how to tell our story, we did an analysis of where most companies were talking, and they were focusing a lot more on the technical aspirations that developers sell. … But we need to extend our dialogue, get out of our customer comfort zone, and start talking more to CIOs, CTOs, CDOs,” Raskin said.
Once these high-level use cases have been identified, deploying Kinetica’s GPU-based data processing platform accelerates the time to value for big data. This empowers end users to make faster, more informed decisions about their business, Raskin explained.
“There are simple entry points, things like Tableau acceleration, where you put us underneath the existing BI infrastructure, and all of the sudden, you’re a hundred times faster. And now your business folks can sit at the table and make real-time business decisions,” Raskin concluded.
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the BigData SV event. (* Disclosure: Kinetica DB Inc. sponsored this segment of theCUBE. Neither Kinetica nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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Daniel Raskin, Kinetica | Big Data SV 2018
Daniel Raskin talks with Lisa Martin & Peter Burris at Big Data SV 2018 at the Forager Eatery in San Jose, CA.
#BigDataSV #theCUBE
https://siliconangle.com/2018/03/15/gpus-behind-the-scenes-of-digital-transformation-bigdatasv/
GPUs behind the scenes of digital transformation
As entire industries announce digital transformation initiatives leveraging big data, many companies are working behind the scenes to enable these success stories. Moving the computation of big data from traditional central processing units to speedier graphics processing units in support of massive parallel computing makes big data far more accessible throughout an organization, according to Daniel Raskin (pictured), chief marketing officer of Kinetica DB Inc.
“You’re using not just the technology of GPUs, you’re trying to operationalize it. So how do you actually bring the data scientist, the [business intelligence] folks … all together to actually create a unified operational process?” Raskin asked.
Raskin spoke with Peter Burris (@plburris) and Lisa Martin (@LuccaZara), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, at the BigData SV event in San Jose, California. They discussed the challenges in marketing GPU technology that drives big data innovation from behind the scenes.
The engine behind the scenes
Even with the excitement around big data innovation, enterprise-ready marketing computing solutions that enable the transformation is a challenge. Rather than appealing solely to developers, Kinetica expanded its marketing campaigns to include top-down use case language.
“When we were looking at how to tell our story, we did an analysis of where most companies were talking, and they were focusing a lot more on the technical aspirations that developers sell. … But we need to extend our dialogue, get out of our customer comfort zone, and start talking more to CIOs, CTOs, CDOs,” Raskin said.
Once these high-level use cases have been identified, deploying Kinetica’s GPU-based data processing platform accelerates the time to value for big data. This empowers end users to make faster, more informed decisions about their business, Raskin explained.
“There are simple entry points, things like Tableau acceleration, where you put us underneath the existing BI infrastructure, and all of the sudden, you’re a hundred times faster. And now your business folks can sit at the table and make real-time business decisions,” Raskin concluded.
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the BigData SV event. (* Disclosure: Kinetica DB Inc. sponsored this segment of theCUBE. Neither Kinetica nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
