Millions of well-log data pages were unsearchable, and up to 40% were duplicates. Data could not be leveraged to inform business decisions, and storage costs were high.
Leveraging Adlib’s OCR technology, the content was standardized to prepare for effective data extraction, classification, and long-term digital preservation. Dark data was exposed for content analysis enabling smarter business decisions.
To ingest, classify, and metadata tag millions of new electronic asset-based documents into corporate repositories.
Adlib’s solution classified, attributed, and archived a high volume of documents daily and made them searchable with OCR. As more documents were processed, the intelligence of Adlib’s classification tool increased surfacing valuable business insights and improved efficiencies.
To migrate one million chemical research documents containing essential corporate IP, as well as retain and make accessible mission-critical intelligence to support compliance and archiving mandates.
Adlib’s platform reduced 400GB of content by 300% to optimize transfer speeds and minimize storage. The collection was reduced by another 35% with advanced de-duplication before being analyzed, organized, and tagged. The company now has the infrastructure in place to extract and organize all unstructured content for business intelligence.
To reliably access all relevant CAD data to meet compliance checks without draining resources. Being able to move applications to the cloud to mitigate risk.
They converted dark, unstructured assets into intelligent, machine-ready structured content at scale. Engineers could access and utilize a complete set of CAD schematics, while business units downstream had insights to move decision-making to a rapid state without jeopardizing security.