Build Your Own Cognitive Computing Platform

Cognitive Computing Platforms are a growing phenomenon that have been shown to add significant value to the Enterprise. IBM’s Watson is just one of the more well known examples. The power of these platforms is that you not only base your enterprise decisions on what is in your structured enterprise data warehouse, but you also mine the unstructured data. In addition, the platform combines proprietary and public knowledge in the form of vocabularies, taxonomies, ontologies, and linked open data with a powerful layer of machine learning technologies. The resulting analytics are pushed back into the core knowledge corpus resulting in a learning system that continually tunes desired metrics.

We will discuss example Cognitive Computing platforms from ecommerce, fraud detection and health care that combine structured/unstructured data, knowledge, linked open data, predictive analytics, and machine learning to enhance corporate decision making. We will also discuss a blueprint for how to build one on your own.

Jans Aasman started his career as an experimental and cognitive psychologist, earning his PhD in cognitive science with a detailed model of car driver behavior using Lisp and Soar. He has spent most of his professional life in telecommunications research, specializing in intelligent user interfaces and applied artificial intelligence projects. From 1995 to 2004, he was also a part-time professor in the Industrial Design department of the Technical University of Delft. Jans is currently the CEO of Franz Inc., the leading supplier of commercial, persistent, and scalable Graph database products that provide the storage layer for powerful reasoning and ontology modeling capabilities for Cognitive Computing applications.