Typical AI systems are useful for spotting patterns when searching through the “right” data. The i2k Platform processes unstructured data to identify insights and trends, filtering out clutter and zeroing in on exactly what users need. No upfront data management is required, as the system can extract content in any repository without manual semantic tagging or classification. Information is automatically tagged and classified, then delivered via web portal or API.
i2k software is not a toolkit; it’s an AI service developed by an expert team with rich domain knowledge. It enables users to interrogate data in ways they may not have even considered and finds possibilities within content that are even tangentially related to the search criteria. Unlike AI systems that rely solely on machine learning and complicated algorithms, i2k presents a traceable, explainable result. The i2k service can be deployed in any space, including Microsoft Azure, Google Cloud, Amazon Web Services, private clouds, and on-premise data centers.
Combines natural language processing (NLP) and machine learning (ML) with subject matter expertise (SME) to enrich unstructured data with insights and information
Automatically enriches documents by classifying them into relevant taxonomies, geotagging entities, and extracting key concepts, authors, institutions, titles, and summaries
Recognizes key events, finds, and extracts data points in document text, tables, and SQL databases, and answers questions posed in natural language
Highest priority use cases answer real-world business problems, leading to more granular customization for even higher-value knowledge curation