Illumination Works’ Theia™ tool uses an ensemble machine learning approach to automatically annotate, organize, and refine datasets for downstream analysis
Theia speeds the time to identify data of relevance, improves subsequent ML with curated and prelabeled data, and filters out data noise so analysts can focus on informative data to answer the questions at hand
Key Benefits of Theia
- Autonomous labeling programmatically traverses documents and data to precisely organize entities and relationships and construct a knowledge retrieval system beyond a simple keyword search engine
- Data processing engine cycles back on itself to improve automated labeling capabilities and grow the universe of possible labeled entities, utilizing intelligent self-learning methods
- Integrates a knowledge graph architecture enabling analysts to query knowledge stores for instantaneous and more precise/accurate result sets
Theia is designed to be easily extended to support a variety of uses cases and domains
- ML Model Training
- Data Mining
- Market Research
- Content Aggregation
- Competitor Analysis
- And more
Theia comprises five key componentsÂ
Custom Web Scraper
Automatically mines the Internet to gather massive amounts of data to speed data gathering and enhance contextual awareness
Natural Language Processing
Applies fine-tuned named entity recognition
to ease entity and relationship detection to feed the knowledge graph
Computer Vision
Performs advanced image pre-processing and fully unsupervised object classification for enhanced knowledge graph construction
Domain Knowledge Engineering
Innovative processes clean and deconflict data points and store metadata in graph database to build and maintain authoritative ontology
Interactive User Interface
Human-machine teaming enabling users to search knowledge graph by text or image to focus on informative data
Theia’s data processing engine is designed to cycle back on itself to improve automated labeling capabilities and grow the universe of possible labeled entities, utilizing intelligent self-learning methods
Ready to modernize your data labeling processes?
Reach out to learn how Theia can be customized to solve your toughest use case challeneges!
Reach out today!
John Tribble, Principal Data Scientist
Janette Steets, PhD, Director of Data Science
Scott Rutledge, Government Director
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