Case Studies and Success Stories of a Decade of Research in Applied Artificial Intelligence

EasyChair Preprint 15654

Abstract

This systematic review represents a decade-long exploration into Applied AI and synthesizes the collective contribution of the author's contributions with some foundational studies in the discipline. Through consolidating these insights from diverse case studies and pioneering work, the article sets out a panoramic view regarding the practical uses and transformational potential for AI in such areas as healthcare, finance, manufacturing, and environmental sustainability. The review critically scrutinizes key success stories by providing evidence-based analyses of how AI has been implemented to solve complex real-world challenges. It also critically looks at persistent barriers around ethical dilemmas, data limitations, and scalability concerns, hence giving a balanced narrative of progress and ongoing hurdles. Through the human-centered lens, this article reflects on lessons learned from applied AI projects and brings into view the interplay between technical innovation and societal impact. By integrating original research with broader contributions from the field, this review seeks to inform future directions to guide researchers and practitioners in using AI for meaningful and sustainable advancement. This article presents the work-in-progress and an early draft of my work.

Keyphrases: Artificial Intelligence, Generative AI, deep learning, machine learning

@booklet{EasyChair:15654,
  author    = {Amir Mosavi},
  title     = {Case Studies and Success Stories of a Decade of Research in Applied Artificial Intelligence},
  howpublished = {EasyChair Preprint 15654},
  year      = {EasyChair, 2025}}