Did Big Data blow it in the election, and if so, what does this say about the technology’s ability to deliver all manner of insight into complex business and technological processes?
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Did Big Data blow it in the election, and if so, what does this say about the technology’s ability to deliver all manner of insight into complex business and technological processes?
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There are plenty of good reasons to push the enterprise infrastructure model onto the cloud. It is cheaper, more flexible, and is becoming increasingly more secure and reliable as both hardware and software architectures evolve.
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Enterprise cloud deployments are on the upswing with little or no sign of slowing down in the coming year, but inside all the market projections are some key trends that indicate exactly what form this new infrastructure will take and what services it will support.
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Nutanix has emerged from the quiet period following its recent IPO with a slew of new features for its automated, cloud-facing data center stack, but it is still confronted by a slew of headwinds, crosswinds and even some uncomfortable tailwinds as it seeks to transition the enterprise to on-demand, virtual architectures.
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Hardware is not dead in the enterprise, but it is fair to say that selling hardware alone is no longer enough to support a viable business model. Virtually all of the top enterprise vendors, from HPE and IBM to Cisco and Oracle, have figured this out, which is why their emerging platforms feature a mix of systems, platforms, services and cloud support.
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It may have taken a little while, but a critical mass of enterprises has now developed private cloud architectures at sufficient scale to start thinking about tying them to public resources to create the so-called hybrid cloud.
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Telecom providers are turning themselves into managed network service providers. What does this mean for enterprise data connectivity?
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From small towns to Washington, D.C., governments are embracing new IT paradigms, and private enterprise could learn a thing or two from their experiences.
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Automation is revolutionizing back-office pharmaceutical processes, reducing errors and improving patient outcomes.
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There are many things that automation can do the people can’t, but the same is true in reverse as well.
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