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Tuesday, March 20 • 1:10pm - 2:00pm
MSET Plus Situation Awareness for Big Data Healthcare Prognostic Applications
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Situation Awareness (SA) is arguably the best method to extract the highest value from data;  Oracle's KIDS (Knowledge Intensive Data-management Services) is a particularly efficient model for achieving SA.  The Multivariate State Estimation Technique (MSET) is an advanced prognostic pattern recognition method that was originally developed in the 1990's for high-sensitivity prognostic applications in complex safety-critical industries by discovering anomalies with the provably lowest-possible false positives/negatives, and with low resource consumption.  Oracle's new MSET-2 combined with SA solves issues that confuse humans in the loop, and confound the best conventional ML algorithmics. The combination of Oracle MSET-2 and SA achieves a compelling value proposition for Big Data life sciences and healthcare applications, as well as for newly emerging dense-sensor IoT applications and human-in-the-loop supervisory-control applications.

avatar for Dieter Gawlick

Dieter Gawlick

Architect, Oracle
With almost 50 years of experience in the IT industry I was seen and contributed to many areas, e.g., databases, transaction processing, workflow, event processing, messaging, and ML. Using ML, data (base) management systems are now able to study the structure of the data values... Read More →
avatar for Kenny  Gross

Kenny Gross

Architect, Oracle
Kenny C Gross, PhD, is an AI Architect in Oracle's Physical Sciences Research Center in San Diego, CA. Kenny specializes in advanced pattern recognition and prognostic anomaly discovery for Big Data applications in IoT industries, life sciences, and business business-critical data... Read More →

Tuesday March 20, 2018 1:10pm - 2:00pm PDT
4-Rm 104