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Real-World Applications of Data Analytics, Big Data, and Machine Learning

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Data Analytics and Machine Learning

Part of the book series: Studies in Big Data ((SBD,volume 145))

Abstract

In the era of digitalization, we stand on the cusp of a data revolution. A staggering volume of data, sourced from manufacturing, banking, social media, e-commerce, healthcare records, and more, collectively known as Big Data, has inundated our world. Concerning the intelligent analysis of extensive datasets and the development of advanced applications for diverse domains, the crucial foundation lies in artificial intelligence (AI), placing specific emphasis on machine learning (ML) and deep learning (DL). The scale of data generation today is staggering, and the capabilities of these technologies are equally remarkable. In the realm of healthcare, they facilitate early disease detectionn customized treatments for patients, fundamentally transforming healthcare delivery. In the financial sector, analytics are shaping investment strategies, while in agriculture, they optimize resource allocation and crop yields. With data-driven insights enhancing transportation, energy management, and infrastructure systems in urban planning. These cutting-edge technologies collectively empower us to unlock valuable insights, reduce costs, streamline operations, and make data-driven decisions, across technical applications. This chapter conducts a comprehensive exploration of the profound impact of Data Analytics, Big Data, and AI in harnessing this data wealth across real-world applications and delves into various algorithms and techniques employed in ML, DL, and analytics.

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Author information

Authors and Affiliations

  1. Department of Data Science, Worcester Polytechnic Institute, Worcester, MA, USA

    Prince Shiva Chaudhary

  2. Department of Materials Science and Engineering, Cornell University, Ithaca, NY, USA

    Mohit R. Khurana & Mukund Ayalasomayajula

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  1. Prince Shiva Chaudhary
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  2. Mohit R. Khurana
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  3. Mukund Ayalasomayajula
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Correspondence to Prince Shiva Chaudhary .

Editor information

Editors and Affiliations

  1. GL Bajaj Institute of Technology & Management, Greater Noida, Uttar Pradesh, India

    Pushpa Singh

  2. GL Bajaj Institute of Technology & Management, Greater Noida, Uttar Pradesh, India

    Asha Rani Mishra

  3. GL Bajaj Institute of Technology & Management, Greater Noida, Uttar Pradesh, India

    Payal Garg

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chaudhary, P.S., Khurana, M.R., Ayalasomayajula, M. (2024). Real-World Applications of Data Analytics, Big Data, and Machine Learning. In: Singh, P., Mishra, A.R., Garg, P. (eds) Data Analytics and Machine Learning. Studies in Big Data, vol 145. Springer, Singapore. https://doi.org/10.1007/978-981-97-0448-4_12

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