Automated data analysis and reporting
TEXT_INPUT:Collect data file from user;;CHATGPT:Prompt ChatGPT to summarize the data;;HTTP_REQUEST:Fetch relevant statistical analysis toolkit/API;;DISPLAY_OUTPUT:Display statistical analysis results;;DISPLAY_OUTPUT:Generate a summary report
Generative AI models such as Language Models (LLMs) and image generators can expediently automate data analysis and reporting tasks across diverse industries. In finance, for example, LLMs like ChatGPT can automatically produce financial reports from raw balance sheet data. They can highlight key metrics, pinpoint trends, and generate high-level insights in a human-readable format.
In healthcare, image generators can analyze medical images like MRIs or X-rays. The AI can then generate reports, noting any potential anomalies and assessing patient risk factors. This not only speeds up diagnosis but also reduces human error.
In retail, these models can analyze consumer behavior data, generating reports that identify emerging trends, buying patterns and predicting future buying behaviors. This helps businesses to tailor their strategies based on data-driven insights.
How to build with Clevis
This is an example of an Automated Data Analysis Application that can be built using Clevis - a powerful tool particularly adept at creating AI applications. This specifically tailored application carries out a series of steps, starting with collecting a data file from the user. This is the Text Input step, an essential part to feed the application's analysis process with actual data.
Following data acquisition, this application uses ChatGPT in the second step. ChatGPT, a model from OpenAI, will summarize the data, providing a concise overview and meaning to the raw data. Once this is achieved, the application proceeds to the third step - Http Request. Here, the program fetches a suitable statistical analysis toolkit/API to analyze and draw relevant insights from the summarized data.
The analysis results are then displayed to the user as part of the Display Output step. The final step involves generating a comprehensive summary report that the user can use for their needs. This sequence of steps signifies an application workflow that automates data analysis and reporting, highlighting the power and flexibility of Clevis tool to build similar applications within this area.