The role of artificial intelligence in data science has replaced technological automation, but for the system to work properly, data engineering is still necessary. The fields of data science and artificial intelligence are advancing constantly, and it is believed that they will usher in the fourth industrial revolution. Artificial intelligence is essential to data science because it gives it the cutting-edge tools needed for proper predictive analysis as well as the appropriate parameters for data engineering to be applied to software.want to pursue a career in data science by upgrading through a data science course in Pune, accredited by IBM. For more information, visit: https://www.learnbay.co/data-science-course-training-in-pune

1. Artificial Intelligence in
Data Science

2. Problem-
Solving
Reasoning abilities into
machines
The ability of digital computers to perform tasks
that are commonly performed by humans is called
Artificial Intelligence.
Artificial intelligence
Decision-
Making

3. Artificial Intelligence is to aid human capabilities and
predict the far-fetched consequences that the human
brain cannot process
Types
Artificial Narrow
Intelligence(ANI)
Artificial General
Intelligence(AGI)
01
02
03
Artificial Super
Intelligence(ASI)

4. AI in Data Science
Data Science and Artificial Intelligence are highly
related. As depicted in the image below all have data as
a common element. Since, Data Engineering deals with
the Extraction, Transformation, and Storing of data, it
is the foremost step that is done. Artificial Intelligence
in Data Science applications works on processed data
hence can only function after the raw data is
Engineered.

5. Machine Learning is a Supervised version developed
by the combination of Data Science and Artificial
Intelligence, where a limited amount of data is put into
the system to predict the possibility.
Understanding the role of Artificial Intelligence in
Data Science, Data Science and Artificial Intelligence
are the words that are used interchangeably because of
their working, but Artificial Intelligence is a tool for
Data Science.
Roles Of Artificial
Intelligence

6. Comparing Data Science
and AI
Data Science was created with the aim of
discovering hidden trends in vast volumes of data.
This discipline is useful for extracting raw data,
processing it, and analyzing the data to attain a
better understanding. This way the vast data can
provide actionable insights on which you can make
important business decisions. On the other hand,
you can deploy Artificial Intelligence to manage
data autonomously.

7. Conclusion
Artificial Intelligence plays a crucial role in Data Science by
providing it with advanced tools for proper Predictive Analysis and
providing proper parameters for Data Engineering to be applied to
software as well.

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