A Generative AI-Driven Systems Engineering Maturity and Cost Modeling Framework
摘要
Generative Artificial Intelligence (AIArtificial Intelligence (AI)) is quickly transforming systems engineering processesSystems engineering process in numerous ways including automating tasks, generating architecture and design options, trade-off analysis, implementation, testing, improving decision-making processes, and many more. An integrated framework is introduced with a harmonized maturity and cost model for using generative AIGenerative AI in systems engineeringSystems engineering. By understanding the levels of maturity and associated cost implications of using AIArtificial Intelligence (AI), organizations can develop strategies for effectively leveraging generative AIGenerative AI in their engineering workflows, ensuring continuous improvement, cost reductions, and strategic integration with technological advancements. The maturity and cost model enables a cohesive evaluation of the financial impacts of AIArtificial Intelligence (AI) adoption.