Adlib Introduces its Novel Content Elevation Process

By CIOReview | Tuesday, May 3, 2016
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Scott Mackey VP, Customer Success at Adlib Software

Scott Mackey VP, Customer Success at Adlib Software

NEW ORLEANS, LA: Adlib software, a firm specializing in data extraction and content standardization has unveiled its new and innovative Content Elevation Process at this year’s AIIM conference.

The process is a reengineered approach to content management that allows organizations to extract, understand and exploit the value locked in their content. It further helps solve crucial problems like migration, compliance, information security, digital transformation and classification.

It has a robust, four-phase approach that aids in managing unstructured content, such as contracts, claims, submissions, emails, and other types of non-database information. With Adlib’s unique approach, which includes Content Fingerprinting and Progressive Classification, organizations can advance Information Governance strategies to successfully execute critical projects.

“We are extremely excited to bring this new approach to the market, giving customers the visibility they need to turn content into actionable information. Organizations realize they can be truly transformative if they can respond quickly and responsibly to both internal and external demands. It’s a fantastic feeling to provide our customers with the opportunity to act on both high-value and high-risk content in the context of their most pressing business challenges,” states Cengiz Satir, Senior VP, Adlib.

The Content Elevation Process involves four stages, namely: standardize, analyze, categorize and optimize. Starting at the standardization phase, the Content Elevation Process builds on Adlib’s content standardization platform and produces high-definition PDF files whilst de-duplicating and digitally preparing content. The output of the HD assets enables the interpretation and flow of information. The analyze phase refines the content to a stage where the Content Fingerprint is created. In the Categorize phase, content is further filtered using Adlib’s rules application and similarity analysis techniques. This creates a similarity index that produces a sub-category that Adlib calls as a “bucket.”  Optimization is the final phase, where, after the content is infused, it is classified utilizing Adlib’s Progressive Classification technology. The technology continues to learn and intelligently process content in an ongoing way to match the content lifecycle requirements across businesses.

“The Adlib Content Elevation Process brings a revolutionary approach to mapping unstructured content with new technologies like Content Fingerprinting,” says Mike Grainge, Director of Product Management, Adlib. “Utilizing our proprietary technologies which can be applied to each step in the content lifecycle, the Content Elevation Process allows enterprises to examine their content in ways previously unimagined.”