Maximizing Value from AI Deployments Requires Rethinking Storage Strategy

For artificial intelligence and machine learning technologies to do their important work, they need data – a lot of data. The same holds true for big data analytics. The amount of data generated and replicated was expected to hit over 70 zettabytes (for context, that’s 21 zeroes after the number) last year – and that number continues to soar.