Day one of the GPU Technology Conference in San Jose and I'm still glowing from watching Steve Wozniak "travel to Mars" through NVIDIA's photo real virtual reality. Or, holding my stomach as Jen Hsun Huang, CEO of NVIDIA took us soaring over Everest. Or cringing, as I watch the early attempts at a car teaching itself to drive and being reminded of how my 16 year old daughter is learning to drive (there were a few similarities…). Each emotion illustrates what everyone will experience shortly on NVIDIA's next gen compute platform with announcement for AI, VR, self-driving, SDK and new deep learning appliance.
This is not your traditional or even big data analytic platform. It's a complete overhaul of the computing architecture. It's a complete rethink of data management. It will also change how you think about analytics.
Stepping back from what may seem like hype and examples steeped in robotics, VR and infrastructure, the truth is, the announcements today show that deep learning in action is at most a year away, and as soon as now. In addition, the innovation coming out of robotics, VR and infrastructure will allow introduction of new form factors and channels to engage with customers and shape our workforce. In the end, it is a data challenge for the very reason that for every channel we use and add, it always ends up being a data challenge.
The implications for how you manage data are radical. Here is what you need to think about: