Follow on Google News News By Tag * ai * Software * Semantic * Information Technology * Artificial Intelligence * Maduco * Ilm * More Tags... Industry News News By Place Country(s) Industry News
Follow on Google News | Maduco GmbH Brings ILM and Business Process Optimization Experience to ai-oneai-one inc., a provider of software development technology (SDK) for semantic associative search and the development of learning machines has signed Markus Düblin and his IT and ILM consulting firm Maduco GmbH.
By: Thomas Marsh Maduco CEO Markus Düblin has great experience in developing ILM concepts and in business process optimization for its clients in the finance, government and multimedia industries. He provides management and IT project consulting to clients in Central Europe and China, and will help ai-one’s partner network manage enterprise implementations. “Our enterprise clients appreciate the experienced, structured reporting and control that Markus Düblin brings to a project. When building solutions with an innovative technology for the first time, his attention to risk and schedule provides assurance that is essential to success” says Tom Marsh, President. About Maduco GmbH, the firm specializes in business process optimization with innovative application of advanced computing technology. Maduco is focused on practices delivering a more efficient allocation of scarce resources and a balance between the organization, its members and the technology. Markus Düblin is a senior consultant with more than 25 years’ experience in application engineering and software development. Düblin and ai-one have collaborated on several projects in the past. www.maduco.ch About ai-one inc., ai-one provides an “API for building learning machines”. Based in San Diego, Zurich and Berlin, ai-one’s software technology is an adaptive holosemantic data space with semiotic capabilities (“biologically inspired intelligence”) # # # Ai-one inc. Has developed an adaptive semantic neural net with semiotic data handling capabilities that allows users to quickly analyze and discover meaningful patterns of interleaved text, data, and images. End
|
|