DESIGN REAL-TIME DATA PROCESSING SYSTEMS     FOR AI APPLICATIONS.

Naresh Babu Kilaru

doi:10.36676/jrps.v14.i5.1538

Authors

Naresh Babu Kilaru Independent Researcher

DOI:

https://doi.org/10.36676/jrps.v14.i5.1538

Keywords:

Real-time data processing, artificial intelligence, edge computing, cloud technologies, flexibility, low latency, , health care management

Abstract

Online analytics systems are vital for ensuring the high efficiency of AI in response to real-time situations requiring agile decision-making. The present paper explores real-time data processing and topology, featuring the application of edge computing and cloud-based services and systems. Through simulation reports, the study shows how these systems handle significant data traffic and minimal delays in healthcare monitoring, automated transport systems, and smart homes. Possible data consistency, system growth, and redundancy issues are recognized, and recommendations are made to improve navigation system dependability and effectiveness. It is possible to improve AI in various industries with the support of progressive apt processing solutions.

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