Artificial Intelligence vs Data Science

Artificial Intelligence (AI) and Data Science are the two most important and emerging technologies. AI and data science technologies are used interchangeably. While data science contributes to some aspects of AI, it does not reflect all of it. So, let us explore these two technologies better so that you can have a clearer picture at the end.

What is Artificial Intelligence?

AI is the intelligence that is possessed by the machines. It makes the use of various algorithms to perform autonomous actions just like the previous successful ones. The contemporary AI algorithms such as deep learning understand the patterns well and find the goals embedded in the data. AI also makes the use of various software engineering principles for developing suitable solutions to existing problems.

What is Data Science?

Data science is considered as an interdisciplinary field of frameworks and procedures to extract bits of knowledge or learning from information in various structures. This involves information science that enables AIs to make sense of solutions to issues by connecting information available for some time later.

This technology involves several underlying fields such as mathematics, programming, and statistics. A data science professional (known as a data scientist) is needed to be proficient in these areas to better understand patterns and trends in the data. This heavy requirements of skills give this field a steep learning curve.

Key Differences between Artificial Intelligence and Data Science

Both AI and data science are popular choices in the present market. Hence, let us discuss some major differences so that you will understand them better and make an informed choice for your career later. Have a look at the table below to know more:

Particular	Data Science	Artificial Intelligence
Meaning	Data Science is a technique of curating the mass data for visualization and analytics	Artificial Intelligence is an art of implementing the data in machines
Skills	It is statistical technique of designs and development	It is algorithm technique of designs and development
Technique	Data science considered as a data analytics technique	Artificial intelligence is known as a machine learning technique
Use of Knowledge	Data science technology uses statistical learning for analysis	Artificial intelligence uses the knowledge of machine learning
Observation	It observes patterns in data for decisions	It uses intelligence in data for decisions
Solving	This technology tends to make the use of various parts of the loop to solve a specific problem	Artificial intelligence technology represents the loop of perceptions and planning with actions
Processing	Data science is a medium level of data processing for data manipulation	Artificial intelligence a high level of scientific data processing for manipulation
Graphic	Data science technology mainly involves in data representation in the different graphical format	Artificial intelligence technology involves algorithm network nodes representation
Control	Data science is all about data control and manipulation with various techniques	Artificial intelligence is all about controls with AI and machine learning techniques

Closing Remarks

Even though both terms are used interchangeably, these technologies are slightly different. AI is a broad domain but still largely explored. While data science is a field that uses AI technology to generate predictions along with data analysis and visualization.

Lastly, we can conclude that – “Data Science is a job that performs analysis of data, while Artificial Intelligence is a tool for creating better products and imparting them with autonomy”. Hopefully, now you have a clearer picture of these two technologies.

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