Main Conference Day 1
Thursday, September 26th, 2019
AI-powered solutions and tools are revolutionizing sustainment operations, refining inventory management techniques and leaving behind the preventative maintenance paradigm. Machine learning (ML)-based tools can incorporate far more sophisticated data sets and generate predictions tailored to each problem's data set, resulting in far more accurate predictions. This enables optimal stocking levels for required replacement parts. When combined with ML-based predictive analytics, the benefits of this technology to readiness are profound.