Optimizing wind operation and maintenance (O&M) costs remains a major challenge. 65% of O&M costs are unplanned, resulting in costly repairs, lost energy production, and logistical headaches. As wind farms mature, their components experience wear and tear, increasing the likelihood of breakdowns and the need for replacements. The wind industry is growing rapidly, but there is a lack of skilled technicians qualified to maintain complex wind turbines. Modern wind turbines generate vast amounts of data, but effectively collecting, analyzing, and using this data to optimize O&M is a challenge.