Difference between AI and Data Science: An Overview

Difference between AI and Data Science: An Overview Keywords: Data Science, big data, data mining, data scientists Artificial Intelligence (AI) and Data Science are often used interchangeably among business leaders, but, they do share some differences. To clear your confusion between the two, this article mentions the differences.

First of all, let us discuss where we hear such words. These words are frequently used when the words like Big Data, analytics, machine learning, statistics, data mining, natural language processing (NLP), chatbots, and others pop in front of us. Both AI and Data Science have changed our world of technology very considerably.

Artificial Intelligence The perfect definition of Artificial Intelligence varies from person to person. It highly depends upon the person whom you ask. Every individual working in the sector of technology will have his version of the definition. Some might take this as a humanoid while others might consider this as a tool to explore space or fight against various ailments. The definition is, however, a very easy one as given by Marvin Minsky and John McCarthy, which states, ‘it is a branch of science that deals with training computers to perform human activities.’

The recent era has witnessed a more elaborated version of this definition.

According to an AI researcher at Google, Francois Chollet stated that AI is nothing but a machine's ability to adapt and improvise in a new environment. It also included the unique ability to utilize the knowledge and apply it in certain unexpected scenarios. This is what AI means. It is an after-the-process, the outcome of Machine Learning. ML makes AI happen. They emphasize patterns and look out for conclusions. So we can comprehend that AI is an elaborated form or output of Machine Learning. AI involves certain kinds of data that are standardized in the form of embedding and vectors. The use of AI is involved in varying industries such as healthcare, transport, automation, manufacturing, and many more. AI uses a high amount of scientific processing, unlike Data Science that typically involves analyzing data and statistics.

Data Science Data Science is one of the most discussed and hottest jobs in the present time.

Data Science is a perfect amalgamation of machine learning, scientific methods, algorithms, structured and unstructured data, and applied scientific knowledge and actions to extract hidden meaning. Extracting values and putting them to work is what a data scientist does. This does involve machine learning, though, it is very different from Artificial Intelligence. Where Artificial Intelligence involves computer algorithms, Data Science involves statistical analysis and techniques and Machine Learning is the link that connects the two. Machine Learning is the characteristic of both, Data Science and Artificial Intelligence. Data science has become very important in the contemporary IT world. Many companies crucially hire Data Scientists to perform various important tasks including the decisionmaking process. Data Science is used in various industries which are involved in the processing of structured and unstructured data. Data Scientists make predictions about the company by careful observance, applied knowledge, and machine learning methods.

Conclusion Both AI and Data Science work hand in hand, but they are not part of one another. Both terms are separate and have individual existence, though they work in a close-knit environment. AI requires deeper knowledge than Data Science. It's all about the insights. Both the professions are in high demand and pay very well.