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Update Blog “the-rise-of-the-distributed-enterprise”
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content/blog/the-rise-of-the-distributed-enterprise.md

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@@ -71,11 +71,15 @@ That mindset is outdated. Data is no longer just an asset to be stored and analy
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Shifting from a data center-centric approach to a distributed enterprise model requires more than just new technology. It demands a new way of thinking. Today’s use cases require a model where:
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* Instead of a few massive data centers, IT infrastructure is spread across a network of private clouds, edge locations, and intelligent local processing nodes, using spot instances, GPU-sharing, and dynamic workload placement to maximize efficiency.
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* Instead of relying on centralized security models and rigid VPNs, organizations embrace Zero Trust principles, where access is identity-based and data is protected at every level.
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* Instead of a few massive data centers, IT infrastructure is spread across a network of private clouds, edge locations, and intelligent local processing nodes, using spot instances, GPU-sharing, and dynamic workload placement to maximize efficiency.
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* Instead of relying on centralized security models and rigid VPNs, organizations embrace Zero Trust principles, where access is identity-based and data is protected at every level.
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* Instead of monolithic applications that require extensive backend processing, businesses build microservices that run dynamically in containers and serverless environments.
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* And, instead of constantly pinging data back and forth to the cloud, AI and analytics run where data is generated, with distributed data fabrics and federated learning ensuring that insights are shared efficiently.
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This is not just about efficiency. It’s about agility, resilience, and the ability to operate at the speed of business. Enterprises that distribute their compute, storage, and analytics capabilities will be positioned to make faster decisions, reduce costs, and unlock new opportunities for innovation.
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