The article discusses the need for predictive governance in the scheduling of hyperscale AI data centers, emphasizing the inadequacy of traditional reactive scheduling methods. It highlights the importance of integrating critical constraints, such as Owner Furnished Contractor Installed (OFCI) equipment, into the schedule early to prevent bottlenecks. The use of standardized metrics and governance tools like the DCMA 14-point diagnostics is recommended to enhance schedule reliability and decision-making.
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