JetStream’s answer is built around a feature called AI Blueprints—real-time graphs that map everything an AI system is doing inside an organization at any given moment. Each Blueprint traces the full chain of activity: which agents are running, which models they’re using, what data and tools they are interacting with, and who or what is behind each action. Rather than a static snapshot, Blueprints track live behavior, so if an AI system starts acting outside its intended purpose, the platform flags it. They also track cost, showing what each AI workflow is spending and who is responsible for it.
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这背后的战略动机在于,谷歌云急需向华尔街证明,其每年砸下的数百亿 AI 基建投资,能够转化为真金白银的商业回报。。PDF资料是该领域的重要参考
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