AI vs. Data Science: Key Differences & Practical Use Cases 🤖

15 data science techniques: https://searchbusinessanalytics.techtarget.com/feature/15-common-data-science-techniques-to-know-and-use?utm_source=youtube&utm_medium=description&utm_campaign=122020AIvsDS&utm_content=AIvsDS&Offer=OTHR-youtube_OTHR-video_OTHR-AIvsDS_2020December17_AIvsDS

AI and data science are two very popular buzz words in IT, and for good reason. They’re two sets of technologies that often work hand in hand to boost business insights and productivity. But they have their differences in use cases. Data science is a field of study that examines large data sets with various analytics methods -- including machine learning and pattern discovery -- to extract valuable business insights, while AI refers to a computer’s ability to understand, learn from, and make decisions based on data like humans.

What processes does your business use data science or AI for? Let us know in the comments, and be sure to hit that like button, too.


Stay up to date on the latest business analytics news: https://searchbusinessanalytics.techtarget.com/news

Follow us on Twitter: https://twitter.com/@TTBusinessTech

Like us on Facebook: https://www.facebook.com/TechTargetBusinessTechnology

#DataScience #AIvsDataScience #EyeOnTech