Artificial Intelligence in Data Science

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Artificial Intelligence in Data Science
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Artificial intelligence
The ability of digital computers to perform tasks
that are commonly performed by humans is called
Artificial Intelligence.
Problem- Solving
Decision- Making
Reasoning abilities into machines
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Types
Artificial Narrow Intelligence(ANI)
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Artificial Super Intelligence(ASI)
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Artificial General Intelligence(AGI)
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Artificial Intelligence is to aid human
capabilities and predict the far-fetched
consequences that the human brain cannot process
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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.
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Roles Of Artificial Intelligence
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.
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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.
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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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