This is a joint meetup with Seattle Data Geeks.
Graphs and Artificial Intelligence have long been a focus for Franz Inc. and currently we are collaborating with Montefiore Health System, Intel, Cloudera, and Cisco to improve a patient's ability to understand the probabilities of their future health status. By combining artificial intelligence, semantic technologies, big data, graph databases and dynamic visualizations we are deploying a Cognitive Probability Graph concept as a means to help predict future medical events.
The power of Cognitive Probability Graphs stems from the capability to combine the probability space (statistical patient data) with a knowledge base of comprehensive medical codes and a unified terminology system. Cognitive Probability Graphs are remarkable not just because of the possibilities they engender, but also because of their practicality. The confluence of machine learning, semantics, visual querying, graph databases, and big data not only displays links between objects, but also quantifies the probability of their occurrence.
We believe this approach will be transformative for the healthcare field and we see numerous possibilities that exist across business verticals.
During the presentation Jans will describe the Cognitive Probability Graph concepts using a distributed graph database on top of Hadoop along with the query language SPARQL to extract feature vectors out of the data, applying R and SPARK ML, and then returning the results for futher graph processing.
Dr. 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. 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.
Dr. Aasman has gained notoriety as a conference speaker at such events as Smart Data Conference, Semantic Technologies Conference, International Semantic Web Conference, Java One, Linked Data Planet, NoSQL Now, INSA, GeoWeb, AAAI, Enterprise Data World, and DEBS to name a few.
Food and informal networking start at 6:30. The talk will start at 7pm.
Parking is available in the building and is valet only. Cost is $8.00 after 6pm. (Enter on Union between 4th & 5th) Additional parking can be found in the Hilton Parking Garage. Cost is $6.00 after 5pm. Enter on 6th Ave between University and Union. There is also plenty of street parking downtown.