Jeeves Solutions announced general availability of JeevesOne. Its first packaged, question answering software product, JeevesOne delivers cost-effective, intelligent self-service. An enterprise software application, JeevesOne delivers relevant answers and customer analytics. In addition to reducing support costs, JeevesOne will help companies deliver better products and services by learning from every question customers ask. JeevesOne is available now and priced starting at $100,000. JeevesOne supports Windows NT and Windows 2000 platforms in the first release. Support for additional platforms is under development. www.jeevessolutions.com
Day: September 23, 2001 (Page 2 of 2)
Stellent, Inc. announced the integration of its Quick View Plus for Windows CE technology with Casio’s new CASSIOPEIA Pocket Manager BE-300. With Quick View Plus, BE-300 users can view desktop file formats created in standard business applications, such as Microsoft Word, Excel and PowerPoint, on their palm-sized PDAs. Stellent’s Quick View Plus for Windows CE enables document and attachment viewing on Windows CE-based devices, without having to access the native application. Stellent also plans to localize the Quick View Plus product for the international versions of Casio’s BE-300 and is already developing a Japanese version of the product. The BE-300 is shipping now with a suggested retail price of under $300 USD. www.stellent.com
Banter Inc. announced the release of Banter Relationship Modeling Engine (RME) 5.0. RME 5.0 is designed to be embedded in any software application that handles unstructured information and free text, providing a full suite of language analysis capabilities. RME 5.0 offers software manufacturers and integrators an expanded range of supported languages and a more refined level of accuracy through greater analytical capability and tools. RME 5.0 is positioned to analyze and understand the content of documents and messages written in everyday language, including the naturally occurring variations in expressions, spelling and grammar typically present in such text. Typical uses for RME range from e-mail analysis, chat support, online self-service and natural language information retrieval, to document classification and tagging. RME’s capabilities include Natural Language Processing (NLP) of imperfect content; analytical and statistical semantic modeling and content classification; and a unique feedback mechanism that enables real-time learning, self-maintenance and rapid, automatic adaptation to constantly changing business environments. RME has full support for UNICODE. For single byte applications, an ASCII only version is available as well. www.banter.com
