How to Let Users Ask Questions in Natural Language Using AI Prompts and Make an AI Analyst Get Charts, Tables, Dashboards, and Reports Generated from Your Data

In this article, you will learn about the following:

1. What Is AI Analyst

2. Why It Can Be Good to Use an AI Analyst in Your Sites or Applications

3. What You Need to Do to Start Implementing a AI Analyst

4. How Can You Take Advantage of the Thesys Data Analyst to Implement an AI Analyst in Your Sites or Applications in Less Times

1. What Is AI Analyst

A human analyst is a person that is capable of analyzing the requests of other humans and can analyze available data to provide responses to fulfill those requests.

An AI analyst is an automated implementation of the work of a human analyst.

The AI analyst can take requests from humans that use prompts to express what they want using natural language.

Then the AI analyst provides an automated response using data provided by the system and generates output to address the human requests, for instance, showing charts, tables, dashboards, and reports.

2. Why It Can Be Good to Use an AI Analyst in Your Sites or Applications

Different users want to achieve different goals.

If you want to have a site or an application that can provide users useful services to help users to achieve their goals, you need to be ready to address as many different types of user goals as possible.

The reactive approach to help your users to achieve their goals is to wait for users to contact your support service and implement any improvements that may be necessary.

This may work with users that have patience to send support requests and are willing to wait for the improvements.

Users that do not have patience will not even contact your site or application support.

Therefore, a faster solution is necessary to help all users achieve their goal.

An AI analyst may solve this problem faster by providing an automatic solution that can take user requests in natural language and use data provided by your site or application to solve the user problems.

One way to implement an AI analyst is to implement an AI agent.

The agent can do the integration between the AI system that parses and interprets the user prompts and executes the code that processes the user requests and returns the response the user is asking for.

4. How Can You Take Advantage of the Thesys Data Analyst to Implement an AI Analyst in Your Sites or Applications in Less Time

AI agents can be very powerful, and you can implement a lot of automated features in your sites or applications.

Still, you need to develop code to implement an agent. Depending on the complexity of the agent that you want to develop, it may still take a significant amount of time to develop the agent code.

Fortunately, there are ready-to-use solutions to implement an AI analyst to provide certain types of responses to user requests, thus allowing the implementation of an AI analyst in much less time.

That is the case of the Thesys data analyst. It allows you to implement an AI analyst that is able to respond to user requests by generating charts, tables, dashboards, and reports from data provided by your site or your application.

There is a lot more to say about the possibilities of the Thesys Data Analyst that I may cover in a future article.

For now, you may want to go to the Thesys Data Analyst page to study how you can implement your own AI analyst using their API for free using a limited number of API calls per month so you can test your own AI analysts.

On the same page, you can also request to schedule a demo of the Thesys Data Analyst features, so Thesys support people can tell you more about the possibilities of the Thesys Data Analyst features and answer any questions that you may have.