In this article, Aaron Reich explains why the winners in enterprise AI won’t be those who “pick a side,” but those who orchestrate open and closed models as one operating system. Moving beyond the open-vs-closed debate, he outlines how to govern, integrate, and measure a hybrid model portfolio that transforms complexity into business impact.
Download the article to learn:
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How to treat models like a portfolio—aligning each choice to precision, risk, data sensitivity, and cost
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What unified governance looks like across vendors and in-house models (without slowing teams down)
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How to connect models via shared pipelines, APIs, and workflows to scale capability enterprise-wide
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The three execution disciplines of orchestration: Interoperability, Trust & Governance at Scale, and Value Alignment
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What to do now: audit your AI landscape, pilot hybrid governance, and design for swap-ability as tech and regulations change
Don’t get stuck choosing sides. Learn how to orchestrate open and closed systems into one adaptive ecosystem—and turn AI into measurable outcomes.
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