When it comes to AI deployments, IT leaders are often caught in an awkward middle space, trying to reconcile conflicting directives from senior management with constantly changing AI models, capabilities, and costs; data governance and security needs; and the limitations of their own team. “Very few real benefits can be attained by simply purchasing an…
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