Career in Artificial Intelligence, Machine Learning, and Data Science

Krishna Gubili ()
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Krishna Gubili: WIPRO

Chapter Chapter 12 in Data-Driven Decision Making, 2024, pp 255-274 from Springer

Abstract: Abstract The demand for skilled professionals in the fields of Artificial Intelligence (AI), Machine Learning (ML), and Data Science (DS) is on an unexpected rise. The convergence of big data, powerful computing, and cutting-edge algorithms has given rise to AI/ML/DS as pivotal drivers of innovation across industries. In this dynamic landscape, the education and career pathways are as diverse as the applications themselves. Understanding the core competencies required, the avenues for learning and growth, and the burgeoning job opportunities is essential for anyone considering a career in these fields. Therefore, this chapter focuses on dispelling some of the myths relating to AI and understanding the data science space for careers in data science, AI, and machine learning.

Keywords: Artificial intelligence; Machine learning; Data science; Career framework (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-97-2902-9_12

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DOI: 10.1007/978-981-97-2902-9_12

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