Treehouse Software partner, Cognistx to present at The Big Data Summit 2017 in Germany

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Dr. Florian Metze, Partner and Chief Speech Scientist at Cognistx, will be presenting “Speech and Deep QA (Question Answering) Developments” as part of a special Cognitive Computing track at the Big Data Summit 2017 to be held in Germany, February 16, 2017.

Dr. Metze will be showcasing how Cognitive Computing, Deep QA and context sensitive end-to-end ASR can be utilized to provide extremely intelligent solutions with an extremely simple user interface. The user can ask questions about e.g. their wireless devices and bills, power tools and home appliances, etc. The system proactively engages the user via a Question Generation (QG) module and then provides the right solution or content based on the user queries. The strength of the solution lies in an intuitive voice user interface, an interactive QG module, and its ability to synthesize large quantities of structured and un-structured data to provide the right answer based on the user query.

He will also discuss recent trends in US academia and industry that have been enabled by the rapid development of Artificial Intelligence using large amounts of data and novel machine learning algorithms.

Dr. Florian Metze is an Associate Research Professor at Carnegie Mellon University. He holds a PhD from Universität Karlsruhe (TH), and has previously worked at Deutsche Telekom Laboratories. Dr. Florian is currently a Partner and Chief Speech Scientist at Cognistx.

For more information on this event, visit the BITKOM Big Data Summit website.


The Treehouse Software / Cognistx Connection

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Additionally, representatives from Treehouse will be in attendance with Cognistx at the Big Data Summit. Rolf Vollmer, Treehouse Software European Sales Manager and Hans-Peter Will, Treehouse Software Senior Technical Representative will be available to meet with those interested in learning about how the Cognistx platform complements Treehouse Software’s tcVISION. tcVISION is the comprehensive product that can acquire data in bulk or via change data capture methods, including in real time, from virtually any IBM mainframe data source (Software AG Adabas, IBM DB2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, even sequential files), and transform and deliver to virtually any target. In addition, the same product can extract and replicate data from a variety of non-mainframe sources, including Adabas LUW, Oracle Database, Microsoft SQL Server, IBM DB2 LUW and DB2 BLU, IBM Informix and PostgreSQL.


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