AI 21 September 2026 1 MIN

Harnessing Unstructured Data for AI Innovation

Bridge the gap between your business context and AI success

79% of organisations believe they can extract value from unstructured data within governed guardrails. Yet, 70% admit that most of their data is undiscoverable or unusable for AI applications.

Unstructured files, such as documents, emails, and images, contain the proprietary context and lifeblood of your business. Without effective governance, you risk token burn, data privacy leaks, and inaccurate AI outputs.

Automate Unstructured Data Governance


Managing petabytes of unstructured files across hundreds of millions of documents manually is a non-starter. Ohalo automates file discovery, classification, and metadata indexing to keep your data layer linked and actionable.


Protect PII & Ensure Data Privacy


With regulations like GDPR and CCPA enforced, data privacy remains the top priority for responsible AI. Ohalo’s Data X-Ray identifies, classifies, and manages sensitive personally identifiable information (PII) within complex unstructured files like legal contracts.


Supercharge Context Engineering & AI Agents


Provide LLMs and AI agents with the rich metadata, taxonomies, and reference links they need to efficiently query vast text stores without wasting tokens on irrelevant content.


Build Trust with AI Citations


Integrate built-in citations directly into your AI workflows and applications via API endpoints. Allow users to verify outputs against original source documents instantly.1

Learn more and download the full BARC research report today.
 

Kevin Petrie
Vice President of Research at BARC
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Kevin is the VP of Research at BARC US, where he writes and speaks about the intersection of AI, analytics, and data management. For nearly three decades Kevin has deciphered what technology means to practitioners, as an industry analyst, services leader, instructor, marketer, and tech journalist. This includes five years as Analyst and Research VP at BARC's partner Eckerson Group. Kevin also launched and grew a profitable data analytics services team for EMC Pivotal in the Americas and EMEA, and ran field training at Attunity/Qlik. A frequent public speaker and co-author of two books about data management, Kevin is passionate about helping practitioners, founders, and software executives capitalize on emerging technologies. Outside the tech world, Kevin most loves biking, kayaking, and coaching his three boys' sports teams.