How Data Science is different from Artificial Intelligence?

Question

How Data Science is different from Artificial Intelligence?

Answer 1

Data Science is the study of all types of data- structured or unstructured, to gain business insights. It makes use of various techniques and algorithms that help to collect, store and analyze business data and gain valuable information. It allows business organizations to collect and organize the data. They use this data to analyze trends and present the gained information within the organization. The professionals who apply all the techniques in data and build models on top of that data are Data Scientists. Data Scientists use various scientific algorithms that help to develop business strategies and make necessary changes and improvements in the business.

Data Science is used in a number of applications including Fraud and Risk Detection in Finance, Drug Development, Targeted Advertising, Image Recognition, and Gaming.

Artificial Intelligence, on the other hand, uses Deep Learning and Machine Learning to provide machines the ability to perform necessary business processes that otherwise needed human interference. It is used to increase business efficiency by simulating human intelligence in machines. It mainly focuses on making complex business decisions and finding optimal solutions for the organization by analyzing its data.

AI is used in Chatbots, Natural Language Generation, Virtual Assistants, Biometrics, Robotic Process Automation (RPA), Text Analytics, and Natural Language Processing (NLP).

To know more about the difference between Data Science and Artificial Intelligence, you must read Data Science Tutorial and Artificial Intelligence Tutorial.

Also, check out this tutorial video on Data Science vs Artificial Intelligence: