3 ways to apply AI to Data Analytics

Data analysis or Data Analytics is the collection of data, examination, analysis, interpretation, and display of data in various formats. Many tools can help analyze and display data. Nowadays, AI technology is being introduced to help in various processes and revolutionizes Data Analytics with machine learning algorithms being able to analyze data. This allows analysts to gain more insights.

So what is Data Analytics?

It is a collection of large amounts of data that is examined, analyzed, and interpreted. Then display the results in various formats that can convey information to those who want to understand it, whether it is Graphs of various formats or pictures, etc.

What role does AI play in Data Analytics?

Since the advent of AI technology, it has evolved to have a variety of capabilities and cater to different needs. When training an algorithm, it can process large amounts of data and make it easier to understand. They can also use the data for future predictions or natural language processing. If you want to use AI to help, what methods can you use?

Method One: Predictive Analysis

One of the capabilities of AI technology is to analyze data and make predictions by using past data through machine learning and AI algorithms to predict the future from the data in the following ways.

1. Collect and prepare past data.

2. Choose the appropriate AI model

3. Train AI models to be suitable for work.

4. Test and evaluate the capabilities of the model.

5. Apply the model to the job.

The second method is to detect abnormalities.

Here's how AI can detect data anomalies with outliers that indicate errors, fraud, or security breaches.

1. Set up verification

2. Use anomaly detection algorithm

3. Continuously train the processing system.

4. Adjust for actual use

The third method is Natural Language Processing (NLP).

AI's NLP capabilities can help machines understand and respond to risky messages in a human-like manner:

1. Use NLP tools

2. Customize tools

3. Show results

4. Apply NLP to other systems.

When AI is used to help with Data Analytics, it helps organizations manage complex data. And there are a huge number. It's easier and can present information naturally, quickly, and accurately. It can also increase efficiency. Helps to gain an advantage in market competition.