Research on fusion applications of AI and electronic information processing technology in the big data era
Xiaoping Chen
Communication University of China,Nanjing
Yongyi Lin
Communication University of China,Nanjing
Hao Liu
Communication University of China,Nanjing
DOI: https://doi.org/10.59429/esta.v12i3.11351
Keywords: data-driven era; artificial intelligence; electronic information processing; technology fusion; intelligent systems; cyber-security
Abstract
Information processing in the big data era is often likened to ‘drinking from a fire hose'—A metaphor that underscores the inherent inadequacy of traditional approaches. The synergy between AI and Electronic Information Processing Technology (EIPT) emerges as the essential 'barrel' to contain this deluge. Over an 18-month interdisciplinary study, our team found that the integration of AI and EIPT transcends mere technical superposition; it acts as a core engine redefining the very logic of data processing.This paper systematically examines their theoretical foundations and strategic value, evaluates application models in key sectors like healthcare, transportation, and smart homes, and proposes an empirical development framework addressing core challenges including data sovereignty, standardization gaps, and interdisciplinary talent shortages. We hope this research will provide practical references for advancing the "real-world implementation" of AI-EIPT synergy.Through our collaboration with engineers at Intel and clinicians at Johns Hopkins, we've developed a framework that doesn't just sound good on paper—It's already being tested in smart factories and rural hospitals. Our goal? To build systems that aren't just efficient,but human-centered—Tools that work for people, not against them.
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