Titlebook: Data Centric Artificial Intelligence: A Beginner’s Guide; Parikshit N. Mahalle,Gitanjali R. Shinde,Namrata N Book 2023 The Editor(s) (if a

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S. Thomas Olliff,Andrew J. HansenAI has become an interdisciplinary field and having applications in all the verticals across day-to-day routine.

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Introduction,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.

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Mathematical Foundation for Data-Centric AI,Mathematics provide better tools in order to understand and analyze the underlying data. In data analysis, mathematics is crucial. Some of the fundamental quantitative ideas and methods that are applied in data analysis are listed below.

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Data-Centric AI in Mechanical Engineering,Data-centric AI approach focuses on techniques to gather data from multiple sources, its management, and its utilization. This approach understands the meaning of high-quality data. The high-quality data, well-curated data will in turn help in better model development and accurate outcomes.

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Data-Centric AI in Information, Communication and Technology,Data-centric AI has gained significant traction in the field of Information Communication and Technology (ICT) due to its ability to harness the power of data for enhanced decision-making, automation, and optimization.

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Conclusion,AI has become an interdisciplinary field and having applications in all the verticals across day-to-day routine.

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