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This review demonstrates AI's role in enhancing efficiency across various industries, highlighting key applications and challenges.
Artificial Intelligence and Its Role in Modern Industries Dr. Girish B. Desale Assistant Professor, Dept. of Computer Science & Information Technology JET’s Z. B. Patil College, Dhule, affiliated to KBCNMU, Jalgaon, MaharashtraAbstract Artificial Intelligence (AI) has evolved from experimental research to large-scale industrial deployment, enabling automation, predictive analytics, and intelligent decision-making across multiple sectors. AI technologies enhance machine perception, anomaly detection, predictive maintenance, robotics, and data-driven forecasting, thereby improving operational efficiency and productivity. In manufacturing, AI analyses vibration, thermal, and acoustic data to prevent equipment failure and detect production defects using advanced deep learning models. In healthcare, AI supports medical imaging analysis, patient risk assessment, scheduling, and clinical decision support while maintaining strict standards of privacy and ethical compliance. Financial institutions increasingly rely on AI for fraud detection, anti-money laundering analytics, and credit risk evaluation. Retail and logistics sectors benefit from AI-driven recommendation systems, demand forecasting, dynamic pricing, and route optimization. The energy sector uses AI for grid stability, renewable energy forecasting, and real-time monitoring. Despite these advantages, AI adoption faces challenges such as data quality issues, cybersecurity risks, bias, and integration complexity. Effective governance frameworks and responsible AI practices are therefore essential for sustainable and ethical industrial AI deployment. Keywords: Artificial Intelligence, Industrial Automation; Predictive Analytics, Smart Manufacturing, Digital Transformation, Machine Learning Applications, Industry 4.0
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Girish Desale (2026) studied this question.
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