AI and advanced applications are straining current technology infrastructures

The Hitachi survey finds data storage needs may double in two years. Where will all that data go? There's the cloud, right? 

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If you're looking at moving your team or organization to artificial intelligence in a big way, you may need to examine and prepare to make investments in the infrastructure underneath -- data capacity, processing capacity, tooling, and related resources. 

While the world gets enmeshed in debates over the efficiency and risks of artificial intelligence, the matter of supporting infrastructure doesn't get enough attention. It appears many current systems may not be ready to handle AI workloads.

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These are the jobs most likely to be taken over by AI

AI at the edge: 5G and the Internet of Things see fast times ahead

Almost half of tech executives say their organizations aren't ready for AI or other advanced initiatives

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