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W ith the digitization of all records and processes, and prevalence of cloud-driven services and Internet of Things, today's era can truly be considered as an era of data. Machine learning (ML) and artificial intelligence (AI) skills are among the most sought-after skills today. McKinsey Global Institute research suggests that 45% of workplace activities in corporations could be automated with current technologies; 80% of that is attributable to existing ML capabilities, and breakthroughs in natural language processing could further the impact. 1 Gartner forecasts that large-scale data-driven analytics could lead to huge benefits in health care; in the United States, where healthcare spending is 18% of gross domestic product, up to US600 per person could be saved annually. Gartner also forecasts that data-driven insights for demand-supply matching could create an economic impact of 850 billion to 2. 5 trillion. 2 International Data Corporation forecasts that spending on AI and ML will grow to 79. 2 billion by 2022, with a compound annual growth rate of 38% between the 2018 and 2022 period.
Sevakula et al. (Thu,) studied this question.