Machine learning is coming full speed: How will it change the Big Data game? | #StructureConf
by Teryn O'Brien | Nov 19, 2015
People are still trying to figure out the Big Data landscape and back-end systems, but there’s another larger issue emerging rapidly that just might change everything.
Derek Collison, founder and CEO of Apcera, Inc., sat down at the Structure 2015 conference to talk with George Gilbert, cohost of theCUBE, from the SiliconANGLE Media team, about machine learning.
The advances in machine learning
“I think there’s something coming up in our rearview mirror very quickly that’s going to pass us before anyone knows what’s going on,” said Collison. “Machine learning is eventually going to get so good so fast — I mean literally in less than 24 months — that nobody’s going to be talking about Big Data in two years. They’re going to be talking about force-feeding data straight in, like a firehose, into this thing that can reason about it, understand it, and then spit out, you know, patterns, predictions, correlations, causations … that we could never have understood.”
Collison pointed out the example of Tesla Motors, and how the cars are already learning how to correct mistakes.
Automating new data streams in the future
At the end of the day, it comes down to services, according to Collison. The cloud wars are being waged on a service ecosystems front — including Big Data, human-machine learning and human-machine interfacing (like Microsoft’s Cortana and Apple’s Siri). “Whoever comes up with the best class of services is going to win,” he said.
@theCUBE
#StructureConf
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Machine learning is coming full speed: How will it change the Big Data game? | #StructureConf
by Teryn O'Brien | Nov 19, 2015
People are still trying to figure out the Big Data landscape and back-end systems, but there’s another larger issue emerging rapidly that just might change everything.
Derek Collison, founder and CEO of Apcera, Inc., sat down at the Structure 2015 conference to talk with George Gilbert, cohost of theCUBE, from the SiliconANGLE Media team, about machine learning.
The advances in machine learning
“I think there’s something coming up in our rearview mirror very quickly that’s going to pass us before anyone knows what’s going on,” said Collison. “Machine learning is eventually going to get so good so fast — I mean literally in less than 24 months — that nobody’s going to be talking about Big Data in two years. They’re going to be talking about force-feeding data straight in, like a firehose, into this thing that can reason about it, understand it, and then spit out, you know, patterns, predictions, correlations, causations … that we could never have understood.”
Collison pointed out the example of Tesla Motors, and how the cars are already learning how to correct mistakes.
Automating new data streams in the future
At the end of the day, it comes down to services, according to Collison. The cloud wars are being waged on a service ecosystems front — including Big Data, human-machine learning and human-machine interfacing (like Microsoft’s Cortana and Apple’s Siri). “Whoever comes up with the best class of services is going to win,” he said.
@theCUBE
#StructureConf
