The latest research on the enterprise storage industry has it pretty much on the same track that has been laid out over the past few years: increased cloud consumption, growing Flash deployment at the expense of magnetic media, and the steady decline of large, distributed arrays.
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Artificial intelligence (AI) is poised to alter data infrastructure and processes in some very significant ways over the next decade, but some applications are riper for deployment than others.
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Object storage appears to be the wave of the future in enterprise circles, primarily because it is the preferred solution for scale-out cloud architectures, but the fact remains that organizations will likely have to maintain file and block storage for a while longer at least, and probably forever.
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The enterprise may still have high hopes for the hybrid cloud, but technology challenges are preventing many organizations from gaining all the benefits they had originally expected – particularly the ability to burst data and extend applications across local and distributed infrastructure.
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The data lake may still be on the drawing board at most enterprises, but that hasn’t deterred software developers from coming up with new ways to improve their performance.
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The hyperscale data center model is poised to show its might over the next three years – the benefit of rising data loads, shrinking budgets, and the need to rapidly convert to dynamic and increasingly automated data infrastructure.
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The enterprise is caught between a rock and a hard place when it comes to digital transformation. On the one hand, transition to an agile, scalable and highly virtualized data infrastructure is vital to future competitiveness, but on the other, there is still a massive investment in static legacy infrastructure that can’t be replaced at the drop of a hat.
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As network complexity grows, so does monitoring and management.
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Networking this year will be all about delivering great application experiences over distance.
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When it comes to shadow IT, the enterprise has three choices: It can accept it, fight it or ignore it. All too often, however, organizations choose the third option, which in most cases not only fails to satisfy individual or organizational needs but can place systems and data at risk.
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Enterprise Illumination 