COMMODITIZING AL/ML MODELS
PREDICTIVE MAINTENANCE, AREAS OF RESEARCH
While AI2C is working with the AI/ML models, West Point is researching the quality that those models need to have to achieve the desired outcome. (Graphic by Hannah Ball, West Point Class of 2024)
the potential to impact units’ budgets, storage space in Supply Support Activities, as well as national supply chains. Because of this, it will be crucial to understand the impacts of AI/ML models on these areas prior to any large-scale implementation for the Army.
CONCLUSION Te transition from physical industrial products to digital software applications has led to major challenges for military technology development and acquisition. Te integration of AI/ML models into these algorithmic tools will only exacer- bate these challenges—not only because modern AI/ML is contingent on software, but also because the stochastic (random- ness or chance) nature of these models makes it difficult to determine what impact they will have on Army organi- zations and processes. Moreover, the state of the art for both software and AI/ML
86 Army AL&T Magazine Fall 2024
moves much faster than traditional tech- nology for military products. As such it will become increasingly important to maintain flexibility and adaptability in procuring AI/ML models. Additionally, while developing those models it will be equally important to determine the level of performance required to achieve the desired operational impacts. Te research and development approach addresses both these challenges and can serve as a model for elsewhere in the Army Acquisition enterprise.
Te Agile software development meth- odologies being leveraged by AI2C, the Army Software Factory, and in other AFC organizations offer a paradigm shift in military technology development. Army development teams, consisting of Army personnel with minimal contrac- tor support, can create modular systems that are model agnostic, allowing for
seamless integration of different AI/ML models as technology evolves. Te AI2C Sustainment team has proven that iterative development with continuous employment by operational units is both possible and effective at delivering incremental value as models and technologies develop. More- over, modular systems built on agile principles are inherently flexible, enabling rapid customization and reconfiguration to meet specific mission needs. By leverag- ing in-house Agile software development, defense acquisition can overcome the chal- lenges posed by the dynamic nature of AI/ ML technologies, ensuring that military systems remain adaptable, responsive and future proof.
In parallel, leveraging model quality
simulations offers a strategic approach to determining the performance require- ments for the AI/ML model. Te research underway by the West Point Department
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