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 This would be the clash of modern times between Artificial Intelligence in Business Intelligence. It enables organizations to make speedy, fact-based decisions, thereby enhancing operational effectiveness for a competitive advantage. Of interest in this paper is to explore AI with BI for its soul in practical implementation strategy of AI using BI, its radical effects, and coupled with challenges, and emerging trends. Awareness of AI with Business Intelligence Business Intelligence is the process of collection, aggregation, and analysis of business data. It has been presented in a form that can support an informed decision. Traditionally, descriptive analytics have been the focus areas of BI systems, providing answers based on historical data. However, AI has further empowered the capabilities of BI through predictive and prescriptive analytics, through which businesses would be able to predict future trends and make decisions in advance. Implementation of AI in BI To do that effe...

Artificial Intelligence, AI in supply chain management has been at the forefront of redefining through improving operations and decision-making. Advanced AI algorithms handle big data to detect demand patterns, better inventory management and solve problems on the way.     Machine learning models provide real-time shipment tracking, route optimization for timely deliveries, and predictive maintenance to prevent idle equipment.   AI-powered chatbots and digital assistants facilitat e seamless conversation and collaboration amongst supply chain contributors. Moreover, by leveraging AI's analytics, automation, and cognitive skills, businesses acquire more supply chain agility, price savings, and step forward customer elight .  The number one motive of AI deployment within the supply chain and logistics is to enhance productiveness and efficiency. However, companies must question the future gains digital transformation will bring to their supply chain operations ...