Kirill Sheynkman, Senior Managing Director at RTP Ventures, outlines open technical challenges in big data infrastructure.
Prediction Not checkable as stated
Sheynkman: Businesses built solely on selling raw data are unlikely to succeed
“So now we're going to generate a lot of data, and that's supposed to be a revenue model, and that's supposed to be for us VCs going, oh yeah, they're going to have lots of data, let's, let's, let's give them money. Not really. So what are you going to do with …”
Insight
Sheynkman: Venture capital should be your last job, not your first
“VC should be your last job, not your first job”
Assertion Not checkable as stated
Sheynkman: No big data startup has reached actionable knowledge yet
“With the big data world, we're excited about the data part. We're starting to get some information out with visualization and alerting and monitoring, things like that. No one has yet gotten to knowledge.”
Assertion Not publicly verifiable
Kirill Sheynkman: Apple uses GridGain for supply chain analytics
“Apple uses them to supply chain analytics.”
Insight
Sheynkman: Analytics software must be transparent glass boxes, not black boxes
“We don't want our analytics to be black boxes. We want them to be boxes with a glass top that I can look and see how things happen, open it up, reach in and figure out what went on there.”
Prediction Not checkable as stated
Kirill Sheynkman: Automated machine-to-machine processing will dominate real-time data systems
“Really a lot of the trading that goes on is actually done by machines receiving feeds from other machines, and I think the same is true, is going to be true with systems, that systems that understand signals, that, that can react.”