The field of optical sensor technology is changing under the influence of artificial intelligence (AI), driving improvements in productivity, innovation, and broader applications This article explores the latest developments in AI applications in optical sensor technology, image and video analysis, sensor measurement, sensor data fusion, anomaly and explore its applications in detection AI holds promise to introduce new types of optical sensors, such as hyperspectral and quantum sensors, by increasing and extending their performance within their application range is so expected that AI will play a major role in developing next-generation optical sensors, and forecasting is widely accepted in such areas. This study uses machine learning techniques to prepare predictive analytics based on data collected from fiber Bragg grating (FBG) optical sensors. Using machine learning algorithms, we aim to make predictions using an extensive dataset of FBG optical sensors, providing valuable insights into their behavior.