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Achieve scalable cyber resiliency in the cloud during an age of exponential data growth

CIO

Right now, according to IDC, just under half (49%) of data is stored in a traditional data center. But even though the largest share of data is still in the data center, the momentum is clearly with the cloud and the edge.

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4 ways to enable explainability in generative AI

CIO

Art, business, and generative AI Art has existed since the dawn of humankind, giving us a window into history and stories waiting to be revealed. 4 ways to enable explainability in generative AI Creating explainability in a generative AI model can help build trust in the models and the confidence to develop enterprise-level use cases.

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DISA Tackling Hard Work And Making Tough Choices In Data Center Consolidation

CTOvision

The sunk cost of this infrastructure gives the DoD reliable and secure data transport, internal computer services and private cloud computing capabilities. These guys know data centers well. DISA TAKES STEP TOWARD DATA CENTER CONSOLIDATION. This is a journey, not just a destination.

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Prepare Your Workloads for the New Workforce Architecture

Hypergrid

This is exactly why businesses must employ agility in their business architecture in order to remain flexible and adaptable during the event of global disruption. A redundant mesh architecture enforces network load balancing and provides multiple layers of resiliency. Corporate is the New Bottleneck. Then there is the issue of VDI.

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Prepare Your Workloads for the New Workforce Architecture

CloudSphere

This is exactly why businesses must employ agility in their business architecture in order to remain flexible and adaptable during the event of global disruption. A redundant mesh architecture enforces network load balancing and provides multiple layers of resiliency. Corporate is the New Bottleneck. Then there is the issue of VDI.

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Canary vs blue-green deployment to reduce enterprise downtime

CircleCI

With applications hosted in traditional data centers that restricted access for local users, many organizations scheduled deployments when users were less likely to be using the applications, like the middle of the night. We will also look at some of the trade-offs, requirements, and advantages of choosing one or the other.

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Fundamentals of Data Engineering

Xebia

. – Maxime Beauchemin Nowadays, data engineers are focused on balancing the simplest, most cost-effective, best-of-breed services that deliver value to the business. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.