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Data Science vs Artificial Intelligence: Key Differences And Their Importance For You And Your Organization

Data science and artificial intelligence are not the same. We will discuss the differences between these computer science fields and how they affect you and your organization.

4 min readFeb 10, 2023
A cute plush robot shows a little diagram with a paintbrush to sarcastically represent the lack of knowledge about the difference between data science and artificial intelligence
Photo by Lizzi Sassman on Unsplash

Data Science and Artificial Intelligence (AI) are two of the most talked-about and in-demand fields in technology today.

Not only their popularity itself but also their research volume and general development represent their importance.

New algorithms and models view the light of the modern world daily. Models like OpenAI’s ChatGPT or the advanced development of autonomous driving show the unbelievable capabilities of today’s computer systems.

While the terms Data Science and AI are often used interchangeably, they are not the same thing. In this article, we’ll explore the key differences between Data Science and AI and why it matters.

What is Data Science?

Data Science is the process of extracting insights and knowledge from data. It involves the use of statistical and machine learning algorithms to analyze and interpret large datasets.

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Marcus Bentele
Marcus Bentele

Written by Marcus Bentele

I'm an innovator that loves lean entrepreneurship, coding, and creating real ideas that matter. Join Medium: https://medium.com/@marcus.bentele/membership

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