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|
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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