Real-Time Data Analytics with AI: Leveraging Stream Processing for Dynamic Decision Support

Sai Teja Boppiniti

Abstract


In today's data-driven world, organizations are increasingly relying on real-time data analytics to enhance decision-making processes. This paper explores the integration of artificial intelligence (AI) with stream processing technologies to facilitate dynamic decision support. By leveraging advanced algorithms and machine learning techniques, organizations can analyze data streams in real time, gaining actionable insights and improving operational efficiency. We discuss the challenges and opportunities associated with implementing AI-driven stream processing systems, as well as case studies that demonstrate their effectiveness in various industries. The findings indicate that such systems not only improve response times but also foster a proactive approach to decision-making in dynamic environments.


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References


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