Gamalon (Cambridge, Massachusetts, U.S.) is leading the next wave in machine learning with an AI platform that teaches computers actual ideas. Gamalon’s Idea Learning technology provides accurate, editable and explainable processing of customer messages and other free-form data. Gamalon’s system learns faster, is easily extendable to specific domains, is completely auditable, and understands complexity and nuance. It can be used to structure free-form text such as surveys, chat transcripts, trouble tickets and more.
Existing “black box” machine learning approaches to natural language are able to summarize by extracting statistically significant text or to categorize by following human-categorized examples, but these systems have not been able to structure, organize, and assemble compositions of ideas and sentiments from text, and then communicate this learned structure of ideas to people.
“Gamalon’s mission is to accelerate human understanding by combining human and machine learning. It’s easy enough for a business analyst to get started providing return on investment right away. When Gamalon’s Idea Learning technology reads large amounts of text, and forms ideas, the AI becomes an extension of you — allowing you to read and respond to huge volumes of messages,” said Ben Vigoda, Gamalon’s Founder and CEO. “In the hands of a data scientist Gamalon can also be a sophisticated machine learning tool to perform data prep on many different sources of unstructured enterprise natural language – you can set it up to populate a target table or schema from the text.”
Source: Intel Capital Invests $72 Million in 12 Tech Startups
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