An Introduction to Synthetic Data

Abstract

This chapter explores the concept of data and its importance in today’s world. We discuss the life cycle of data from collection to storage and how synthetic data can be used to improve accuracy in data science and artificial intelligence (AI) applications. Next, we explore synthetic data’s applications in financial services, manufacturing, healthcare, automotive, robotics, security, social media, and marketing. Finally, we examine natural language processing, computer vision, visual scenes, and segmentation problems in synthetic data.