In today's fast-paced digital environment, real-time data processing is essential for applications such as fraud detection, stock market analysis, and recommendation systems. AI enables real-time data processing through streaming analytics platforms like Apache Spark Streaming, Apache Flink, and Kafka Streams. These platforms, combined with AI algorithms, can process and analyze data as it is generated, providing immediate insights and actionable outcomes. AI models deployed in real-time environments are capable of continuous learning, adapting to new data patterns without requiring retraining from scratch. This capability, known as online learning or incremental learning, ensures that AI systems remain effective even as data evolves over time.