AI-Driven Data Engineering in the Internet of Things: Scaling Data Pipelines for Smart Device Ecosystems
Abstract
AI driven data engineering for driving a data pipeline at scale in IoT ecosystems is what this study covers. It looks into the impact of AI on e.g. data processing, latency reduction, scalability of the system. We show improvements in the efficiency as well as in the adaptability, using quantitative analysis. The findings illustrate how AI can help in intelligent data workflows sitting with IoT so data becomes easily processable and available for real time decisions of smart devices.
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