New See where your enterprise data creates delays, rework, and leakage.Get a free Data Savings Estimate
Stargo

limitedDistribution · Industry Research

AI Data Modeling: What It Is, How It Works, and Best Practices

AI data modeling is crucial for trustworthy AI, with data being key to success in generative AI.

Ryan HirschFebruary 19, 20261 min read
AI Data Modeling: What It Is, How It Works, and Best Practices

Stargo's Stardox platform enhances AI data modeling by transforming unstructured data into actionable insights, ensuring trustworthy AI.

Executive Summary

The article discusses the importance of AI data modeling in the era of generative AI, emphasizing that trustworthy AI relies on robust data practices. It highlights how data will be a decisive factor in determining success in the generative AI landscape. The piece outlines best practices for AI data modeling, including the need for strong data governance and the integration of AI into data workflows to enhance decision-making processes. The article also touches on the role of industry standards in ensuring AI trustworthiness and the potential for AI to transform data management practices.

Source: ER/Studio

Authors: Ryan Hirsch

Published: 2025-09-18T18:58:16.000Z

Original Article: https://erstudio.com/blog/ai-data-modeling/

More from the News Room

View all

We are publishing more related coverage here soon. Explore the full News Room for the latest articles.

See ROI in 12 weeks

See where enterprise data is slowing operations down.

Estimate the manual effort, delays, and leakage hidden across your current workflow before you automate it.