The process of predicting accurate weather patterns has always been a challenge for meteorologists. The complexity is in observing and processing vast amounts of data, and because most of the weather stations would never be able to collect, process and store so much information. With traditional models, the systems have to read huge data sets from several weather stations that would take many hours to predict the weather accurately. The good news is artificial intelligence (AI) has been able to outperform these traditional methods by streamlining the weather forecasting process while bringing accuracy and reliability in assessing weather reports. The amount of data received from global sensors, weather stations, satellites, and radar, is staggering. The estimation often goes well beyond trillions of data points and is expected to continue to grow.