Living-e Technological Foundation
Semantics, AI, and Advanced Pattern Recognition (APR)
At the heart of the Semantic Enterprise software from Living-e are advanced algorithms from the sciences of statistics, semantics, language processing, and artificial intelligence, tied together in MindSet.
MindSet: Statistics, Semantics, Linguistics, and AI
MindSet is a suite of intelligent Java-based components which structure, analyse, classify and interpret unstructured content. A unique combination of language technology and artificial intelligence, MindSet supports the entire spectrum of professional communication and information management, in any language. Its proven modular components are flexible and integrate easily into new or existing solutions. Information and communication processes are automated, optimised, and quantified. MindSet provides an intelligent, flexible, and powerful bridge between unstructured data and existing business intelligence and analysis tools.
MindSet’s Development
Developed over the past 10 years at one of the top European artificial intelligence research institutes, the German Research Center for Artificial Intelligence (DFKI), the MindSet foundation has been productized and tailored for the e-business environment, much as Google was productized before being released from Stanford in 1998.
MindSet Components
MindSet is comprised of several major components:
Launch MailMinder Demo
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"With MailMinder our staff achieved productivity gains of approximately 30%… We are planning to also deploy MailMinder to improve IT support for our more than 300 employees."Stephan Kemper, Head, Customer Services and Support, ImmobilienScout24
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"The entire implementation process of MailMinder was completed within 4 weeks. Already on our first day going live we processed the same amount of e-mails in half the time. We doubled our productivity with regard to e-mail processing."Achim Weiss, Head, Technology and Development, GMX
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"Living-e's MindSet technology is the basis for the now automated, extremely efficient processing of customer responses to our product sample marketing campaigns. The previously manual processing of each fax response took about 2 minutes. Now, the same task is done in just a few seconds. In other words, our processing productivity increased by more than 1,000 percent..."Gisela Stein, Medical Director, RosenPharma (A pharmaceutical company of the MIP Group)
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