Integrating Artificial Intelligence and Machine Learning for Competitive Advantage in Developing Business Ecosystems

The previous few years have witnessed significant shifts in people's aspirations and lives as a result of technology improvements. When discussing the advancements in technology over the past twenty years, we must first discuss the pre-Internet era before moving on to the Internet era.After that, systems that are service-oriented replaced those of the Internet age. After then, we entered the era of social applications and left behind service-oriented systems. The social application era was eventually superseded by the age of artificial intelligence and the Internet of Things.The theory, subsequent development, and integration of intelligent behavior akin to that of humans in machines is known as artificial intelligence, or AI. A branch of AI called machine learning has important uses in many different fields of technology.In recent years, there has been a substantial advancement in the business model framework for artificial intelligence and machine learning. Nonetheless, there is one area that needs more investigation and understanding even though it is crucial for academics, policymakers, and aspiring managers to know: how companies are evolving their AI business model frameworks to achieve ongoing value creation.Research and experience on AI business model frameworks have consequences for machine learning (ML) in this investigation. In order to create and adapt their company model and maintain value generation, executives can use this tool to reproduce and categorize significant difficulties. We want to investigate the theoretical underpinnings of the Business Model Framework in this study, which uses Consumer Business Analytics to transform the business market ecology.