limitedDistribution · Industry Research
Using Unstructured Content For Agentic AI: A Big Enterprise Bottleneck
The article discusses the challenges of using unstructured data for agentic AI, emphasizing the need for better tools and governance.
Stargo's Stardox platform transforms unstructured data into actionable insights, addressing enterprise AI challenges highlighted in the article.
Executive Summary
Following a research note on the GA release of Box Extract, the article examines how vendors enable organizations to optimize enterprise content management using agentic AI. The major bottleneck is organizational and governance-based, with enterprises lacking tools to extract actionable meaning from vast unstructured content. This shift is crucial as unstructured data remains inaccessible to AI agents, preventing organizations from operationalizing their largest information assets. The article argues that making unstructured data usable is critical for effective enterprise AI, highlighting the need for integration with governance and operational workflows.
Source: Forbes
Authors: Melody Brue
Published: 2026-01-16T00:00:00.000Z
Original Article: https://www.forbes.com/sites/moorinsights/2026/01/16/using-unstructured-content-for-agentic-ai-a-big-enterprise-bottleneck/
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