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Artificial Intelligence Unleashed: Navigating the Landscape of Machine Learning and IoT Integration

EasyChair Preprint 11911

7 pagesDate: January 29, 2024

Abstract

This paper delves into the intersection of Artificial Intelligence (AI), specifically Machine Learning (ML), and the Internet of Things (IoT). The study explores the synergies between these technologies, aiming to uncover the potential benefits, challenges, and mitigation strategies when integrating ML into IoT ecosystems. Through a comprehensive review, analysis, and experimentation, we provide insights into the dynamics of this integration and its implications for various domains.

Keyphrases: Artificial Intelligence, Automation, Data Analytics, Edge Computing, Integration, Interconnected systems, Internet of Things, IoT Security, machine learning, predictive modeling

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:11911,
  author    = {William Jack and Starve Smith},
  title     = {Artificial Intelligence Unleashed: Navigating the Landscape of Machine Learning and IoT Integration},
  howpublished = {EasyChair Preprint 11911},
  year      = {EasyChair, 2024}}
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