What is AI in data science & How is AI used in Data Science?

What is AI in data science?
AI is an integral part of Data Science and it cannot be understood in the integral part of analysis from a range of industries. AI can be utilized as a powerful tool that helps to achieve the goals by performing a variety of processes and using AI data scientists to perform all the processes which helps them to not make errors in any data-related tasks.
Many individuals who are interested in Data Science have questions like "How AI or ML is used in Data Science"? But in fact both are integrated tools to learn Data Science and perform the processes using the technology.

How AI is used in Data Science?
AI is used in Data Science to make processes easy and to not make errors in certain functions and some of the following are the common ways where AI is used in Data Science.
Segmentation- Segmentation and organizing is a method where data is grouped accordingly for better analysis and it will be done by AI by using certain methods and patterns.
Predictions- AI is mainly used in predicting trends in the market it can use all the historical data and create predictions in the trend and market which is an advantage for the company.
Recommendations AI technology data scientists are able to create new algorithms to study people's common interests or past data to recommend the same to them in the future.
Data Management- It is a broad process that includes several steps from collection of data to the data analysis of bulk data. By taking advantage of data organizations are making better decisions and predicting uncertain results and making processes both easier and faster.
From changing trends and technology becoming advanced AI plays a key role in the field of Data Science.
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