The Next Frontier: Future Business Management in the Age of AI and Machine Learning
Year: 2025
Type: article
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized business management by optimizing operations, improving decision-making, and enhancing customer experiences. As businesses generate and process vast amounts of data, AI and ML enable organizations to extract actionable insights, automate complex processes, and drive strategic growth. These technologies are widely applied across multiple business functions, including supply chain management, human resource management, marketing, customer relationship management (CRM), and financial forecasting. Despite the numerous benefits, AI and ML adoption in business management presents several challenges, such as data security concerns, ethical implications, bias in AI models, and high implementation costs. This study explores the current role of AI and ML in business management, focusing on their applications, benefits, challenges, and ethical considerations. Furthermore, the paper examines future trends, including explainable AI (XAI), AI-driven decision augmentation, and the integration of AI with emerging technologies such as block-chain and the Internet of Things (IoT). By understanding the transformative potential of AI and ML, businesses can develop strategic approaches to leverage these technologies for sustainable growth and long-term competitive advantage.
Author: Dr. Shivaling Balkrishna Rajmane
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949811531
FWCI:
Cites:
Cited by:
Related to: