Data Transformation Solutions
Metadata Management
Bring Context to Content with Automated Metadata Tagging & Extraction for Publishers
Unlock the True Value of Your Content with Expertly-Augmented Metadata Tagging
Publishers are under immense pressure to develop innovative products and solutions while ensuring their most valuable asset – their content – is readily accessible and useable. That starts with being able to swiftly turn content into a valuable and proprietary commodity. Innodata combines artificial intelligence with subject matter expertise to help publishers seamlessly extract, categorize and label the content their users need without sacrificing quality.
Innodata provides publishers with a world-class, expertly-augmented content transformation platform combining humans-in-the-loop and trained deep learning and AI/ML models accessible through an easily-configured API.
Trained Models
Deep learning models trained on complex journals, periodicals, publications etc. are built on our sequence labeling and sequence-to-sequence deep learning architectures, and are uniquely suited for rich content tagging and extraction.
Entity Extraction
Our AI-enabled entity extraction goes beyond rule-based tagging and extracts relevant information that cannot be addressed by rule-based solutions.
Deep Expertise
Over 3 decades of tagging content has given us the edge to build ready-to-use AI/ML learning models that help our clients avoid starting blindly in the absence of sufficient learning data which is a key to move to AI-enabled entity extraction.
MEET AN EXPERT
Darian Schwartz- VP, Financial Data Solutions
Darian has extensive industry knowledge and experience in helping top financial leaders execute large scale, global NLP projects. Using an individual approach, Darian helps clients develop and implement custom data engineering strategies that are specifically tailored to their needs.