Hyland launches Knowledge Enrichment to innovate AI workflows

Hyland, a leading name in the field of content management, has unveiled its latest innovation—a groundbreaking solution called Knowledge Enrichment. This tool is set to redefine how organizations interact with unstructured enterprise content by converting it into AI-ready data.

The core challenge for many organizations adopting AI and automation technologies is not the lack of data, but the quality of it. Much of the content remains disjointed and poorly structured, resulting in underwhelming performance of AI workflows. Knowledge Enrichment aims to tackle this issue by seamlessly transforming raw, unstructured content into clean, contextualized, and intelligently structured information.

Michael Campbell, chief product officer at Hyland, elaborates on the necessity of this innovation: “Knowledge Enrichment solves this fundamental challenge by transforming content, creating the structured, contextually rich data foundation that AI agents need to deliver meaningful business value.”

The features that make Knowledge Enrichment an essential tool in today's data-driven world include:

• Multimodal enrichment: From text, images, audio to video, this feature supports deterministic extraction of structure, semantics, and content directly from files.
• Data catalogs: Enable the consistent management of enriched metadata across unstructured and structured formats.
• Seamless enterprise integration: Ensures deep integration with governance and content workflows.

Operating in varied environments such as content lakes, enterprise content management (ECM) platforms, or federated repositories, Knowledge Enrichment brings clarity to chaos, ensuring that AI platforms can process content with a deep understanding.

For industries like healthcare, insurance, financial services, and government, this enriched content ensures AI systems can accurately interpret and act on information, preserving layout, semantics, and relationships vital for operations.

Knowledge Enrichment offers breakthrough capabilities that enhance AI's effectiveness:

• Preservation of Meaning and Context: Extracts intelligence while maintaining original structure, crucial for AI accuracy.
• Deep Contextual Structuring: Goes beyond traditional metadata by enhancing documents, images, and other formats into structured outputs.
• Seamless Integration: Converts content into enriched, structured data for seamless integration into enterprise data lakes and pipelines.

An API-first solution, it supports low-code tools, making it accessible for both technical and business users to harness enriched metadata with ease.

Applications span the enterprise, offering:

• Improved AI accuracy through enriched data supporting better decision-making.
• Simplified AI deployment by reducing manual data preparation.
• Scaling with confidence with a consistent AI-ready content foundation.

Roy Godwin from ECM360 acknowledges the potential in industries with intensive data needs: