Introduction The primary purpose of a watch is to display time. However, when other technologies are integrated, it shows time and gives additional information about fitness; the basic timepiece becomes a pedometer. Data Science, Machine Learning, and Artificial Intelligence individually work just like the watch; and together like the powerful pedometer. They are different from each other. They have already made their significant individual mark in the world of technology. They also belong to a shared realm. When these three work together, they can achieve what was once thought unachievable. Enterprises have obtained remarkably useful results from their overlapping usage. The unique purpose and properties of these three transformative concepts are crucial both individually and as a team to meet the needs of the enterprises. To understand the potential of their convergence, which is being tapped by the leading players in businesses, including Amazon, Tesla, and Google, let us start by getting an idea of each one of Data Science, Machine Learning, Artificial Intelligence individually. What is Data Science? There has been an exponential rise in data across the globe. This data can be precious for different enterprises. Data Science is a wide field of study that fundamentally maintains, analyses, and draws meaningful comprehensions from this data. It uses various programming languages, software, and algorithms to extract the required data from random data and then convert it into information businesses utilize to reach their goals. What is Machine Learning? Machine Learning is a component of Artificial Intelligence that enables systems with independent learning techniques without programming. It examines given data and patterns in the data to identify or predict new data or patterns. Machine Learning is a complex science and requires an advanced degree such as a Master's in AI or Machine Learning. What is Artificial Intelligence? Artificial Intelligence is a field of study that primarily deals with enabling machines with human cognitive powers. Artificial Intelligence allows for repetitive and high-volume tasks reliably. However, Artificial Intelligence requires highly skilled professionals, usually with an M.Sc. in Artificial Intelligence. Data Science, Machine Learning, and Artificial Intelligence: How do they work together? Data Science uses AI models to forecast the outcomes of different actions of the company in computable terms. These AI models are essential to understand the future implications of any new decision taken. It also uses different predictive models to prescribe the necessary actions most likely to help businesses succeed. Data Science and AI are responsible for the increase in the annual turnover of Amul, the Indian dairy torchbearer, even during COVID-19 business constraints. The confluence of Data Science and AI resulted in massive demand for jobseekers with an M.Sc. in AI even during the pandemic. Data Science uses Machine Learning algorithms to predict and suggest the most effective action plan for any company. It also uses Machine Learning to set important parameters for businesses. Machine Learning and the cognitive power of AI result in the effective processing of data. It can give precise results only after analyzing vast amounts of both actual and false data. The success of driverless cars lies with data analytics that helps the vehicle learn when to pull the brakes in different driving conditions. Artificial Intelligence can make intelligent products that result in improved technologies and a better user experience. It can efficiently train machines to perform desired tasks. Artificial Intelligence can execute large systems with minimal or no human involvement, but it requires huge amounts of data to work smartly. For example, the MOUNTS platform (Monitoring Unrest from Space) utilizes satellite-based imagery and ground-based data to forecast natural disasters intelligently. Machine Learning is a part of Artificial Intelligence which is a part of Data Science. The example of any search engine can easily explain this relationship. When something is typed in the search engine, the system's Artificial Intelligence uses it to gather intelligent results with the help of Machine Learning. However, the search engine itself is an element of Data Science. A Master's in AI will explain how the correlation between Data Science, Machine Learning, and Artificial Intelligence works. Machines require data to learn; Machine Learning simplifies Data Science; Machine Learning without Artificial Intelligence will not fetch any important results. Conclusion While Data Science manages all data, Artificial Intelligence serves as a tool to get meaningful results and solutions for specific problems with the help of Machine Learning. An M.Sc. in Artificial Intelligence degree enables using them together for incredible results. Whether you want to do an online Master's in Artificial Intelligence or Machine Learning or Data Science, IU International University of Applied Sciences has a course specially designed to fast track your career. IU International University of Applied Sciences offers an M.Sc. in Artificial Intelligence degree program in online mode. Find out more about the Master of Science Degree Programme (specialization in Artificial Intelligence) here and learn the core concepts from world-class industry leaders to become at par with the ongoing technological revolution now!