• Dr. J. Anitha
• E. Subhash

Artificial Intelligence (AI) is transforming the landscape of business decision-making by enabling organizations to process vast amounts of data, identifying patterns, and make more informed decisions. This paper provides a comprehensive overview of the current trends and future directions in AI-powered decision-making within the business context. It explores key applications such as predictive analytics, prescriptive analytics, and cognitive computing, illustrating how these technologies enhance decision accuracy, operational efficiency, and overall business performance. In addition to highlighting these benefits, the paper critically examines the challenges associated with AI adoption in business decisions. The discussion concludes with a look at future research priorities, emphasizing the development of more powerful AI systems, with the collaboration of advancement of explainable AI, and the importance of effective human-AI. The insights offered are valuable for both business leaders aiming to tackle AI strategically and promote ethical responsible AI adoption for policymakers.

Artificial Intelligence, Business Decision-Making, Predictive Analytics, Prescriptive Analytics, Cognitive Computing, Explainable AI, Human-AI, Collaboration.

"AI-POWERED DECISION-MAKING IN BUSINESS: A REVIEW OF CURRENT TRENDS AND FUTURE DIRECTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.41-54, August-2025, Available :http://www.jetir.org/papers/JETIRHC06006.pdf

"AI-POWERED DECISION-MAKING IN BUSINESS: A REVIEW OF CURRENT TRENDS AND FUTURE DIRECTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. pp41-54, August-2025, Available at : http://www.jetir.org/papers/JETIRHC06006.pdf