Introduction
What’s the difference between data science and AI? Is there a difference? Is the difference significant? Well, that’s what this article gets into and more linked here.
Summary of Article
Firstly the article discusses what data is and that’s just any information. And shows how data is crucial to modern technology and AI needs that at a function they are just models crunching the number of data to get a result and output a result. It says that AI and machine learning as well as data science are closely intertwined and work together to drive data-driven decision making however there are some slight differences. Data science supplies the data from machine learning algorithms whereas AI improves a collection by automating it and also actually drives those insights from the data that data science supplies. The Synergy between AI machine learning and data science leads to smarter data analysis better insights more efficiency increased problem-solving capabilities and enhanced productivity for the business overall.
My Take
Overall I liked this article because it showed me A New Perspective I didn’t know that data science machine learning and AI word three different concepts that kind of loop them under the same relevance I know those nuanced differences between the three. Writing style and their use of pictures to help break up the text into minimal chances to give the reader a much-needed break. The author’s writing style is very engaging and holds the reader’s attention very well.
Conclusion
All in all this article is very good one both the author’s writing style which is very interesting and intriguing as well as the Nuance difference that the article provides between machine learning Ai and data science very helpful for somebody who is going into this field and just overall in the new age of AI. I really recommend you give this article a read when you have some time and it’s linked here.