Enterprises should move away from a cloud-only mindset and adopt a best-value strategy that prioritizes business objectives and pain points. Understanding business needs is crucial in choosing technology solutions that deliver real value. It is essential to evaluate solutions based on their business impact rather than just features. Cost analysis should go beyond estimates, including pilots and total costs. Companies should demand transparency from technology vendors and favor flexible, interoperable solutions that prevent vendor lock-in.
Let business problems drive technology choices. Start with a deep understanding of business pain points and desired outcomes. Build a business case for AI rooted in reality, not hype.
It's easy to get lost in feature comparisons between cloud providers, but the true differentiator is the business value they offer. Look for solutions that can deliver tangible ROI.
Don't rely solely on estimates or calculators. Model your expected AI workloads, conduct pilots, and compare total costs across different deployment options.
View technology vendors as partners instead of just providers. Insist on transparency regarding pricing, road maps, and support.
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