Artificial Intelligence and Its Role in Modern Industries: Applications, Challenges, and Future Trends Parth Aland Saint Thomas English Medium School, Solapur, India Dr. Rajivkumar Mente Dept. of Computer Applications, School of Computational Sciences, Punyashlok Ahilyadevi Holkar Solapur University, Solapur, India Dr. Preeti Deshmukh Dept. of Computer Science Engineering, V.V.P. Institute of Engineering & Technology, Solapur, India Dr. Bapu Chendge Dept. of Computer Applications, Central University of Karnataka, Kalburgi, India Abstract Artificial Intelligence (AI) has become a transformative force in modern industries by enabling intelligent automation, data-driven decision-making, and adaptive operational systems. Advances in machine learning, deep learning, analytics, and Industry 4.0 have accelerated AI adoption across sectors. This paper reviews AI’s evolution, core techniques, applications, benefits, challenges, and future directions in industries such as manufacturing, healthcare, finance, logistics, energy, and retail. It examines how AI improves operational efficiency, reduces costs, enhances product quality, and supports workforce augmentation. At the same time, it highlights major challenges, including data quality, cybersecurity risks, ethical and legal concerns, lack of explain ability, high implementation costs, and workforce skill gaps. The study also discusses emerging trends such as explainable AI, autonomous industrial systems, Industry 5.0 integration, and sustainable green AI. By identifying research gaps and future opportunities, the paper supports responsible, scalable, and sustainable AI adoption for researchers, practitioners, and policymakers. Keywords: Artificial Intelligence, Industry 4.0, Industrial Automation, Machine Learning, Smart Manufacturing, Industry 5.0
Building similarity graph...
Analyzing shared references across papers
Loading...
Aland Parth
Rajivkumar Mente
Pradeep Deshmukh
Solapur University
Central University of Karnataka
Dr. V. M. Government Medical College
Building similarity graph...
Analyzing shared references across papers
Loading...
Parth et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69d49fe5b33cc4c35a228618 — DOI: https://doi.org/10.5281/zenodo.19428277