What is the relationship between data catalogs and AI? An explanation of functions, selection methods, and implementation steps.

Explaining in order the relationship between data catalogs and AI, the reasons why AI is needed, main features and benefits, and how to choose tools!

When trying to use generative AI or AI agents for analysis tasks, it is not uncommon to find oneself unable to determine whether to trust the responses received, leading to the situation where the person in charge ends up double-checking the numbers manually. To conclude, the accuracy of AI responses is determined not only by the performance of the model but also by how well the meaning of the data that AI can reference is organized. The system that manages this organization systematically is the data catalog. In this article, we will sequentially explain the relationship between data catalogs and AI, the reasons why AI is needed, the main functions and benefits, how to choose tools, the steps for implementation and operations to prevent formalism, and how to explain the investment effects within the organization. *For details, please download the materials and check them.*

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