Description
Generative AI has revolutionized how information is created and consumed. From content generation to intelligent chatbots, AI now powers most modern applications. By 2025, over 750 million LLM-powered apps are expected worldwide. Yet, to remain truly valuable, these AI systems must think and respond in real time. That’s where streaming data becomes essential.
Unlike static or batch updates, streaming data flows continuously—enabling AI models to react instantly to what’s happening now. This live data stream allows chatbots to reference current events, trading bots to track market shifts, and virtual assistants to provide up-to-date recommendations. Platforms like Apache Kafka, Flink, and Pulsar make this possible by transmitting information in small, manageable streams that AI systems can process continuously.
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