How AI and Machine Learning Are Revolutionizing Trading Algorithms

I've been researching how AI and machine learning are transforming trading algorithms, and it's mind-blowing how efficient and accurate these systems have become. But I keep wondering—how do developers ensure these models stay adaptive to constantly changing market conditions? Markets are so volatile, and I imagine it’s not easy to predict trends all the time. Does anyone here have insights or experience with this? Maybe even examples of successful implementations?