Share this post:
Last week in San Jose, I had the honor of presenting the inaugural “IBM Cognitive Honors” award at the Hortonworks Luminaries dinner, in conjunction with DataWorks Summit. IBM Cognitive Honors seeks to recognize individuals making noteworthy advances in AI/machine learning within their company or organization.
The journey to cognitive and AI often starts with advanced and predictive analytics. Our winner, Dr. Wade Schulz, Resident Physician & Senior Solution Architect at Yale-New Haven Health, is driving advanced predictive analytics with both operational data and data from smart, connected devices (IoT).
Dr. Schulz is a true data luminary. He is a physician, a scientist, and a solution architect. His work touches every part of the computational healthcare pipeline, from deploying and maintaining infrastructure to developing the software platforms needed for clinical genomics. He understands that the insight revolution is driven by the value of the data itself, as well as by the right infrastructure coupled with the right software.
Yale-New Haven Health’s largest source of data generation comes from a continuous patient monitoring solution that records all patient monitoring data, streamed in real time, from intensive care units and emergency departments. With the help of Hortonworks, they store a massive data set of 6-9 billion data points per month, deriving clinical insights and driving translational research projects for disease, mortality, and outcome prediction. These insights are also used to reduce alarm fatigue and noise due to repetitive alarms.
Dr. Wade Schulz and Kim Storin, VP of Marketing, IBM Cognitive Systems
We applaud the work that Dr. Schulz is doing to help patients and caregivers through the implementation of a cognitive solution. The work that he is leading with cognitive infrastructure and solutions can even be viewed as lifesaving. We look forward to seeing how Dr. Schulz continues to innovate.
To learn more about the IBM Power Systems and Hortonworks partnership, click here.