Harnessing AI for Optimized Decision-Making A COPRAS Analysis

Author:

Gorantla Bhargavi1,Devineni Sreenath1

Affiliation:

1. Lead Software Engineer, USA

Abstract

Artificial Intelligence (AI) has become a significant influence in improving decision-making processes across different fields by harnessing its capability to analyse large volumes of data, identify patterns, and generate insights. This research investigates how AI impacts decision-making and evaluates the performance of five companies: Tech Solutions, AI Services Inc, Data Analytics Co, Insightful AI, and DecisionTech Ltd, using the COPRAS (Complex Proportional Assessment) method. The study assesses several criteria including enhancement in decision accuracy, cost reduction, employee satisfaction, and efficiency in decision-making.The findings indicate that Tech Solutions leads with a top utility function score of 100, excelling in improving decision accuracy, reducing costs, and enhancing employee satisfaction. Insightful AI closely follows in second place, demonstrating strong overall performance. Data Analytics Co and DecisionTech Ltd rank third and fourth respectively, showing solid but slightly lower performance compared to the top performers. AI Services Inc ranks fifth, indicating relatively weaker performance across the evaluated criteria. The thorough evaluation using the COPRAS method reveals the specific strengths and weaknesses of each company, offering crucial insights for stakeholders to make informed decisions. Tech Solutions' exceptional performance underscores its adept use of AI in decision making, leading to enhanced accuracy, cost efficiencies, and higher employee satisfaction. As AI progresses, organisations that successfully integrate AI into their decision-making frameworks will gain a competitive edge, enabling more informed, data-driven decisions while upholding ethical standards and human oversight.

Publisher

REST Publisher

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