Weather forecasting gives a critical part in our daily lives, influencing our decisions ranging from what to wear to planning outdoor activities or even preparing for natural disasters. However, accurate weather prediction remains a complex and challenging task. Traditional forecasting methods have their limitations in dealing with the vast amount of data generated by weather systems. In upcoming technologies, there has been a growing interest in harnessing the potential of machine and deep learning to improve weather forecasting accuracy and efficiency. This article explores the role of weather forecasting in upcoming technologies, the benefits of leveraging big data, the integration of artificial intelligence in weather models, the evaluation of the advantages and limitations of machine learning, the future potential, and the transformative impact of machine and deep learning in revolutionizing weather prediction.