Abstract
In order to effectively communicate, keep records, make decisions, and evaluate data, businesses require access to information. Recently, jobs in data science domain have skyrocketed in popularity thanks to abundant data and cheap processing power. Degree programmes in Information Technology strive to keep up with the industry's rising demand. The authors looked at a large number of job listings from different sites to determine what skills and experiences are necessary for positions involving artificial intelligence and machine learning. The author also analyses the necessary abilities for each vocation and provides an evaluation. Furthermore, they compared the locations of ML and AI head-to-head. Data engineering, exploratory data analysis, programming, statistics, the internet of things, applied mathematics, neural network architectures, language, multimedia processing, and big data were all found to be more highly valued by employers in roles requiring ML and AI. Instead, communication skills and a generalist mindset are valued more highly in AI positions. Having these clearly defined abilities could also aid in the job search and in adapting existing course material to match the growing needs of the market.
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Lamkuche, H.S., Masih, J., Bhagwat, A., Morya, S., Onker, V., Singh, K.K. (2024). A Review of Job Postings in India Concerning Artificial Intelligence and Machine Learning Skills. In: M. A. Musleh Al-Sartawi, A., Helmy Abd Wahab, M., Hussainey, K. (eds) Global Economic Revolutions: Big Data Governance and Business Analytics for Sustainability. ICGER 2023. Communications in Computer and Information Science, vol 1999. Springer, Cham. https://doi.org/10.1007/978-3-031-50518-8_15
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