The Convergence of Data Science and IoT
Introduction: The Internet of Things (IoT) is a game-changing technology that is changing the face of business and our daily lives. It has transformed individuals into smart device-connected consumers and businesses into overlapping enterprises. Smart devices generate massive amounts of data wirelessly over the internet without human intervention, which is ideal for organizations eager to provide the best services to their clients. The only issue is that the IoT generates far too much data for traditional data science to handle. IoT Traditional and Data Science: Data Science for the IoT Is Dynamic: Traditional data science is static since it is primarily based on historical data. For example, a company may collect information about its customers' preferences and needs from them. The historical data serves as the foundation for predictive models that assist the company in better understanding its future customers. IoT, on the other hand, alters the dynamics of data analysis because ...