Every day we tend to get a lot of data. However getting the data over a period of time is not easy. We need some form of a collection for this type of the approach. In such case a lot of people make use of the datalake or the datawarehouse. And they tend to get the data through AI means.
Synethtic data is how most of us are going to be practicing the data science skills and those who are into the programming also uses that approach. So now there are variety of the sources for you to download the fake or say synthetic data and it's not a hard work.
So what does AI do in general for the data?
Imagine you want to get some failed transaction data of the stripe or some other company like Visa and the mastercard. You should get that data as per your needs and you can even ask them to replicate this based on the real world data. And that would make one approach for you to have the fake data that is being used in the app testing or so.
For example, I have created an application that keeps track of the failure of some of the products and the websites. And I want the data science people to make use of the data for their conclusion and the visualization. So in such case you can see how the data like that would help you have one use case that can be seen in Enterprise.
Let's say you are using ChatGPT or the huggingface GPT type of the AI API and you want to use it for the above scenario. So I have done some of the scenario created and pushed as a prompt which you can see in the image below. And that would give you an idea that makes it easier for you to work with some of the AI prompts like this.
As you can see AI would give you the CSV data or other excel like data that you can download and make use of. Here the issues is they are going to give you an email based on that but the thing is having the data to download from the dashboard would be a good option for the people. So I feel that would be a good correction for people.
Let's talk about the variety of the synthetic data that we have around. And we have to think over the AI APIs that you can use for the variety of manipulation of the data. And if the thing like this we can fix over we can make use of such data to learn more and also come to conclusions in project.
