The Fusion of Robotics and Artificial Intelligence in Business Management

In today's fast-paced corporate environment, the integration of robotics and artificial intelligence (AI) in business management offers a revolutionary catalyst. This empirical study examines the complex interrelationship between artificial intelligence and machine learning and the way it might...

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Bibliographic Details
Main Authors: Geetha, B. T., Kamatchi, A., Thirupathi, J., Dhaliwal, Navdeep, V, Anusuya Devi, Shalini, S.
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Automation
Business
Business Management
Customer services
Decision making
Ethics
Integration
Robotics
Safety
Service robots
Online Access:Request full text
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Summary:In today's fast-paced corporate environment, the integration of robotics and artificial intelligence (AI) in business management offers a revolutionary catalyst. This empirical study examines the complex interrelationship between artificial intelligence and machine learning and the way it might change how companies run. Robotics, which has historically been linked to physical automation, combines with AI's cognitive powers to create machines that are capable of autonomously perceiving, thinking, learning, as well as performing tasks. Benefits of the fusion include cost savings, better decision-making, increased customer service, and safety improvements. However, it also presents difficulties, which include cybersecurity concerns, ethical dilemmas, and obstacles to technology integration. Redefining decision-making from reactive to proactive, the integration of robotics and AI enables businesses to predict trends and quickly adjust. A lot has changed in the manufacturing, transportation, health care, and finance sectors, but there are countless applications for this fusion, which includes retail and agriculture. Businesses must acknowledge this fusion of technology and ethics as a necessary component of the ever-evolving business landscape in order to stay competitive.
ISSN:2687-7767
DOI:10.1109/UPCON59197.2023.10434341