Exploring the practical applications of artificial intelligence and machine learning

Artificial intelligence (AI) has become an important area of research during the last few decades. Currently, AI concepts are introduced in industrial, academic, and even in day-to-day applications [1]. The main purpose of AI is to compute expected results based on previous results and associate a sense of logical reasoning to the past data. However, for beginners, the theory behind implementing AI techniques could be confusing and challenging. In addition to theoretical concepts, the implementation of algorithms in real life is also a significant area that creates a substantial interest in this field [2-3]. The area of MLOps – machine learning operations – transforms the model from theory to operations. MLOps enables the development of proper AI pipelines, which eventually aid in integrating AI models into a piece of functional software. The main objective of this article is to introduce the foundational techniques of AI and machine learning, followed by a focus on practical applications, ethical considerations in deploying AI, and use cases in different sectors.