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Evaluate edge technologies based on value and readiness.
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Edge computing could give your business a competitive advantage by reducing latency while increasing privacy and reliability. But ensure you have all the relevant use...
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Understand the benefits as well as associated risks of edge computing.
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Assess, plan, and seamlessly repatriate workloads.
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Cloud costs may be unexpected or higher than expected due to factors such as data egress costs, storage costs, or fluctuating usage patterns. Payment models in the cloud...
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Assess your workload for infrastructure suitability and record the on-premises architecture required for it.
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Design a custom reference architecture that meets your AI requirements.
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The evolving landscape of AI development and hosting methods will have a significant impact on IT teams and managed infrastructure. Balancing AI integration into existing...
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Plan and record the infrastructure requirements to support your AI solutions.
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Microsoft 365 is as difficult to wrangle as it is valuable. Leverage best practices to produce governance outcomes aligned with your goals.
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