AI is Coming for Data Scientists: Are You Ready?

Author(s): Harsh Chourasia

Originally published on Towards AI.

Why AI May Soon Replace Data Scientists (And What You Should Do About It)

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In the quick-changing world of technology, it is no doubt true that artificial intelligence (AI) will both represent the direction of innovation and become a harbinger of change.

Data scientists have been at the forefront of extracting insights from vast pools of information, but the rise of AI raises a tons of new issues and questions; hence, why data scientists should cast a wary eye on the very technology they’ve helped nurture.

Data scientists have played an important role in the development of systems that can truly automate complex analytical tasks.

There is a bitter irony to this success, though: these same systems are now capable of performing many of the tasks traditionally that have been the province of data scientists themselves.

Consider the following scenarios:

Feature engineering: AI systems are today very good at automatically finding features in datasets. Before that, this could be a pretty complex process with the help of advanced intuition and expertise from humans.

Model selection and tuning: AutoML platforms can now test and optimize numerous machine learning models in a fraction of the time it might take a human data scientist to do so.

Data cleaning… Read the full blog for free on Medium.

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Published via Towards AI