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Abstract : Artificial Intelligence (AI) in IoT, often referred to as "AIoT," refers to the integration of AI capabilities with the Internet of Things (IoT) devices, allowing them to analyze the vast amount of data collected by connected devices in real-time, learn patterns, and make intelligent decisions without human intervention, ultimately creating more efficient and autonomous systems across various industries.  Key points about AI in IoT: Data Analysis: AI algorithms process the data collected by IoT devices, identifying trends, anomalies, and insights that would be difficult to discern manually, leading to better decision-making.  Machine Learning: A primary application of AI in IoT, where systems learn from data patterns over time, allowing them to adapt and improve their responses to different situations.  Predictive Maintenance: By analyzing sensor data from machines, AI can predict potential equipment failures before they occur, enabling preventative...

Abstract: Data science is a multidisciplinary field that uses data to gain insights and develop strategies for businesses and industries. It's a combination of principles and practices from many fields, including: Mathematics Statistics Business Artificial intelligence Computer engineering:    Data scientists use data analysis and modeling, algorithms, and human-machine interaction to answer questions like: What happened, Why did it happen, What will happen, and How can the results be used for planning and decision-making.    Data science can be applied in many sectors, including: health care, business, marketing, banking and finance, and policy work.    Data science is used to develop practical systems, such as autonomous navigation vehicles and cognitive assistants.  Keywords: Data Science, Data Analysis, Data Applications,  Autonomous Navigation Vehicles, Cognitive Assistants.  Learning Outcomes: After undergoing this article y...