Gain Control of Unstructured Data with Intelligent Data Extraction

Whether it’s in claims forms, emails, commercial contracts, CAD diagrams, clinical trial documentation, or another document type, 90 percent of enterprise content is unstructured. This unstructured data may be valuable, confidential, and business-critical, but it is often difficult to find and manage. This results in significant "dark data," information that’s buried or hidden within your organizational documents.

How can you find and understand this potentially vital data without spending thousands of hours combing through documents by hand? Intelligent Data Extraction can ease the burden.

What is Intelligent Data Extraction?

As the enterprise content management (ECM) market has evolved, data capture has gone from merely the physical transformation or scanning of paper documents to including digitally born content. Intelligent Data Extraction enables organizations to take digitally born or post-scan paper content to a new level, extracting critical information from dark data.

Intelligent Data Extraction enables organizations to elevate their document management by optimizing day-to-day functions, automatically identifying content within repositories (and zones within content) that are of greatest interest, and seamlessly converting them to XML, JSON or other formats ready for further downstream processing, from managerial review to big data analytics.

How Can Adlib Help?

Adlib’s Intelligent Data Extraction leverages generative AI technology and stateless Large Language Models (LLMs) to provide more accurate and efficient data extraction. These advanced capabilities allow for the real-time processing of vast amounts of unstructured data, identifying patterns and extracting relevant information more precisely. By using stateless LLMs, Adlib ensures data security and privacy, as each session is independent, minimizing the risk of data retention.

Adlib’s Data Extraction and capture capabilities enable organizations to automate the intelligent ingestion and processing of digitally born or post-scan paper content. Adlib's Document Transformation platform allows you to extract insights and unlock value from your unstructured data by applying:

1. Enhanced Optical Character Recognition (OCR) techniques
2. Image comparison technology
3. Content/flow analysis
4. Document cleansing
5. PDF interpretation
6. Generative AI and stateless LLMs for advanced data processing

Adlib's technology provides scalable and flexible solutions, ensuring that organizations can handle varying volumes of data while maintaining high accuracy and compliance standards.

In addition to having pre-built connectors for leading repositories like OpenText Documentum, Microsoft SharePoint, Dassault Systèmes ENOVIA, OpenText, and IBM FileNet, Adlib integrates with workflow tools, scanning repositories, multi-function printer outputs, email applications, fax systems, web forms, and other points of content onboarding, allowing you to access content intelligence from any point in the document lifecycle.