A series of decisions

From Claude with some prompting
The image depicts a diagram titled “A series of decisions,” illustrating a data processing and analysis workflow. The main stages are as follows:

1. Big Data: The starting point for data collection.
2. Gathering Domains by Searching: This stage involves searching for and collecting relevant data.
3. Verification: A step to validate the collected data.
4. Database: Where data is stored and managed. This stage includes “Select Betters” for data refinement.
5. ETL (Extract, Transform, Load): This process involves extracting, transforming, and loading data, with a focus on “Select Combinations.”
6. AI Model: The stage where artificial intelligence models are applied, aiming to find a “More Fit AI Model.”

Each stage is accompanied by a “Visualization” icon, indicating that data visualization plays a crucial role throughout the entire process.

At the bottom, there’s a final step labeled “Select Results with Visualization,” suggesting that the outcomes of the entire process are selected and presented through visualization techniques.

Arrows connect these stages, showing the flow from Big Data to the AI Model, with “Select Results” arrows feeding back to earlier stages, implying an iterative process.

This diagram effectively illustrates the journey from raw big data to refined AI models, emphasizing the importance of decision-making and selection at each stage of the data processing and analysis workflow.