Multidisciplinary Perspectives on AI & IOT “Innovation, Application & Future Trends”
Author : Dr. Shruti Mathur
Abstract :
This paper explores new advancements, emerging technologies, and cutting-edge research in AI and IoT, which bring together experts from different fields, including engineering, data science, business, and social sciences, to discuss how AI and IoT can be integrated for maximum impact and examine issues such as data privacy, security risks, and ethical AI use in IoT systems. This database was used to identify key trends, innovations, and applications of AI and IoT. The methodology was used to examine the impact of AI and IoT integration on efficiency, security, and decision-making. The structured approach used qualitative & quantitative methods, which are for combining statistical analysis and data. The findings highlight that AI and IoT are reshaping industries, improving efficiency, and driving innovation. It also increased Focus on Ethical AI & Data Privacy. The integration of AI and IoT has significant practical implications across industries, shaping business strategies, technology development, and societal impact. The uses of these tools are helpful in industries that leverage an IoT for autonomous operations, such as self-driving cars, smart homes, and robotic process automation (RPA). The study's originality lies in its comprehensive, interdisciplinary approach to the integration of AI and IoT. By reviewing existing research, the study aims to provide a comprehensive, interdisciplinary analysis of the convergence of AI and IoT, which seeks to bridge knowledge gaps, highlight advancements, and explore future opportunities in AI-IoT integration.
Keywords :
AI and IoT tools, Innovation, statistical analysis and data, Application & Future trends, interdisciplinary approach, bridge knowledge gaps, explore future opportunities.
