
Автор: Parikshit N. Mahalle, Gitanjali R. Shinde, Yashwant S. Ingle
Издательство: Springer
Год: 2023
Страниц: 137
Язык: английский
Формат: pdf (true), epub
Размер: 12.4 MB
This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of Artificial Intelligence (AI) in various domains. It presents comparative studies of model-centric and data-centric AI. It also highlights different phases in data-centric approach and data-centric principles. The book presents prominent use cases of data-centric AI. It serves as a reference guide for researchers and practitioners in academia and industry. Artificial Intelligence (AI) is a multidisciplinary field that aims to create intelligent systems which are able to perform tasks that typically need human intelligence. These systems rely on a variety of building blocks that work together to enable AI capabilities. In this explanation, we will explore the fundamental building blocks of AI, including Machine Learning (ML), Natural Language Processing (NLP), computer vision, and robotics. Data-centric AI empowers decision-making by providing actionable insights and recommendations based on data analysis. By leveraging large datasets, AI systems can identify patterns, correlations, and trends that may not be comprehensive to humans. These insights can inform strategic business decisions, optimize processes, and unlock new opportunities for innovation and growth.