Industry Research

Why it is right time to pursue a career in AI, ML and Data Science

How the job demands in , Machine Learning and Data Science changed recently in India

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SwissCognitiveDisruptive technologies– an umbrella term for technical disciplines that are currently said to transform the digital landscape. The spearheads of this transformation are (), data science, and (). The best part is these technologies are also interrelated. In technical parlance, is a dynamic application of that empowers the machines to learn from data provided and improve the model accuracy levels. And data scientists mine data to extract insights and forecast future trends based on the data collected from or models. However, these technologies seem very complex to a layman. And sometimes a business executive too. Even when setting up to make a career in these fields, it does cause confusion and trepidation about which branch will suit them best. So today, we are going to help you with that.

What are they?

Artificial intelligence is a multidisciplinary technology that involves an attempt to enable machines to execute reasoning by replicating human intelligence. Meanwhile, is a subsection of by virtue of which systems can automatically learn and improve from experience without being programmed by humans. Lastly, data science is the extraction of relevant insights from data. It uses several techniques from many fields like mathematics, , computer programming, statistical modeling, data engineering and visualization, pattern recognition and learning, uncertainty modeling, data warehousing, and . The key difference between these fields lies in the applications. At the same time, and help businesses and other sectors in attaining faster and more error-proof outcomes across different fields. Whereas, data science is used to detect and solve problem points for organizations.

Career Prospects

The Talent Supply Index (TSI) study by Belong found out that the demand for data science professionals across varied industry sectors has grown up by 400 percent, in India. In its 2018 edition of the index that data science, Belong noticed that there are more business operations such as product recommendations, targeted advertising, and forecasting demand where the demand for data scientists has shot up by 417% from the previous year. Meanwhile, another report by the ed-tech company Great Learning states that India doubled its () workforce to 72,000 in 2019 from 40,000 in 2018, witnessing a growth of 200% over 2018. […]

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