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A Guide To Modernizing Data and Storage Services To Maximize Your Digital Business Initiatives
Today’s defining digital business initiatives are wholly dependent on your organization’s ability to maximize the value of all of its data. How do you evolve your data and storage services to meet modern digital business requirements? The key is to leverage a common data architecture that eliminates silos and provides seamless integration from the data center to the cloud and any edge location. This site provides practical guidance on how to transform data and storage services with minimal disruption to drive digital business initiatives and innovation in the hybrid multicloud era.
A Strategic Look at Cloud Storage
Choosing the Right Cloud Storage Infrastructure for Improved Risk ManagementRead More
Connecting and Integrating With the Public CloudRead More
Enabling Business-Critical Apps For a Distributed EnvironmentRead More
Optimizing Your Cloud Storage Spending For Hybrid Cloud EnvironmentsRead More
Deliver Data Services Anywhere
Success Stories in Leveraging Data to Unlock Digital Business PotentialRead More
Building a New Model for Data and Storage Services to Deliver Transformative Business ValueRead More
5 Steps to Transform How You Manage Storage and Data ServicesRead More
FAQ: The Value of Delivering Data Services AnywhereRead More
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Choosing the right AWS disaster recovery strategy in 2026
Organizations unprepared for outages often have a disaster recovery plan that does not match their business needs. These metrics ...
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Compare AI risk management frameworks from NIST and beyond
While NIST is the most widely used, it's just one of the frameworks available today that can help manage the risks associated ...
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Why backup alone doesn't guarantee cloud recovery readiness
Successful backup jobs can still leave dependency and configuration gaps, making orchestration and recovery testing critical for ...
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The data backup confidence gap: Are you really recovery ready?
False confidence in data backups is a growing issue. IT leadership must ensure that recovery goals match backup realities to ...
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A primer on hyperscale data centers
Hyperscale data centers can hold thousands of servers and process much more data than an enterprise facility. However, they can ...
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AI operating models: Balancing autonomy and human oversight
AI operating models in data centers define decision-making and risk management. Balancing machine autonomy and human control is ...
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Cisco agentic AI security push faces enterprise trust gap
Cisco officials urged customers to "meet the Mythos moment" with new agentic defenses, but businesses' mistrust of AI cuts both ...
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Cisco: AI driving a 'network supercycle'
Data and latency demands for AI paired with AI agents and strict security requirements are fueling a 'network supercycle,' says ...