Bidirectional Encoder Representations from Transformers (BERT) is a revolutionary natural language processing model developed by Google that uses deep learning to understand the context of words in a sentence by looking at both preceding and succeeding words. This bidirectional approach enables BERT to achieve state-of-the-art results in various NLP tasks such as question answering and sentiment analysis.