Advancements and Challenges in Artificial Intelligence Applications: A Comprehensive Review
Kiran Kotyal
Institute of Agribusiness Management, University of Agricultural Sciences, Bangalore, India.
Pankaj Nautiyal *
Krishi Vigyan Kendra (ICAR-CSSRI), Hardoi-II, UP- 241203, India.
Mohit Singh
Krishi Vigyan Kendra (ICAR-CSSRI), Hardoi-II, UP- 241203, India.
Ankit Semwal
Amity Institute of Horticulture Studies and Research, Amity University Noida, Uttar Pradesh, India.
Deepak Rai
Krishi Vigyan Kendra (ICAR-NISA), Khunti- 835227 Jharkhand, India.
Gaurav Papnai
Krishi Vigyan Kendra (ICAR-IARI), Gurugram, Haryana-122004, India.
Chanda Thapliyal Nautiyal
Department of Higher Education, Uttarakhand-248001, India.
G.Malathi
Horticultural Research Station Yercaud, Salem, Tamil Nadu, India.
S.Anandha Krishnaveni
Anbil Dharmalingam Agricultural College and Research Institute, Trichy - 620027, Tamil Nadu, India.
*Author to whom correspondence should be addressed.
Abstract
This comprehensive review explores the advancements and challenges in the field of Artificial Intelligence (AI) applications across various industries. With rapid technological progress, AI has transformed domains such as healthcare, finance, education, and manufacturing, driving innovations in automation, data analysis, and decision-making. This examines the Important and significant AI technologies, including machine learning, natural language processing, and computer vision, highlighting their contributions to enhancing efficiency, accuracy, and problem-solving capabilities, these advancements, several challenges persist, such as ethical concerns, bias in AI systems, data privacy issues, and the need for robust regulatory frameworks. Additionally, the complexity of integrating AI into existing systems and workforce displacement due to automation are critical barriers to widespread adoption and provides a balanced perspective on both the potential and limitations of AI, offering insights into future research directions and strategies for addressing these challenges to ensure the sustainable and ethical development of AI technologies.
Keywords: AI applications, robotics, finance, healthcare