Aı And Predıctıve Analytıcs In Busıness:...

Aı And Predıctıve Analytıcs In Busıness: Examınıg How Aı-Drıven Predıctıve Analytıcs Is Changıng Busıness Strategıes And Operatıons

Author Name : Arman Ospanov

ABSTRACT Artificial Intelligence (AI) and predictive analytics are increasingly integral to modern business strategies and operations. This article explores how AI-driven predictive analytics is transforming various business domains, including customer relationship management, supply chain optimization, financial services, and operations management. By leveraging AI technologies such as machine learning and deep learning, businesses can gain deeper insights, improve decision-making accuracy, and enhance operational efficiency. However, the implementation of AI-driven predictive analytics also presents challenges, including data quality, privacy concerns, and skill gaps. Future trends such as augmented analytics, edge computing, and explainable AI promise to further revolutionize the field. This article provides a comprehensive overview of these developments, highlighting the profound impact of AI-driven predictive analytics on the business landscape. The findings emphasize the necessity for businesses to adapt to these advancements to maintain competitiveness and foster innovation.