Today’s healthcare organizations are looking for ways to control costs and increase efficiency while still delivering high-quality care and related services. The most innovative among them are getting ahead by using AI/ML built on trusted data to optimize the patient and member experience, reduce the cost of compliance, and accelerate profitability insights as they roll out new business models.
Watch this recorded webinar to learn how to leverage AI/ML solutions from Teradata and AWS to achieve a range of business outcomes—from harmonizing patient data and optimizing costs to accelerating disease onset prediction and next-best-action care management solutions. Experts from Teradata and AWS share how leading healthcare companies are leveraging modern cloud architecture to implement scalable AI/ML within a responsible AI framework. Explore how to power innovation and analytics with Teradata VantageCloud Lake on AWS, and see how ClearScape Analytics™ can be used with Amazon SageMaker.
Director, Industry Strategy – Healthcare, Life Sciences & Public Sector, Teradata
John leads Teradata’s healthcare industry strategy. He has almost 20 years of data and analytics experience in areas including academic health systems, military health, managed care, behavioral health, and large payors.
Principal Data Scientist, Healthcare & Life Sciences, Teradata
Trish collaborates with several of the largest healthcare, life sciences, and public sector healthcare organizations in the U.S. to strengthen their data science strategies and enable AI/ML at enterprise scale. Trish has worked in various technologies and analytic platforms over her career through her work in medical professional liability insurance, health IT and EHR systems integration, large university-based medical research, and various consulting companies. Trish earned her M.S. in Predictive Analytics from DePaul University in Chicago and her B.S. in Biology from the University of Minnesota, Twin Cities.
Principal Solutions Architect, AWS
Jared Dean is a Principal Solutions Architect with Amazon Web Services (AWS). His area of expertise is artificial intelligence and machine learning. Over his career he has developed leading-edge analytics for banking, entertainment, and mobile data. Outside AWS, he is an adjunct professor in the Duke University School of Medicine. Jared holds several patents in data mining. Previously, Jared was a Mathematical Statistician for the U.S. Census Bureau and CTO of Reveal Mobile, a mobile marketing analytics startup, and held numerous IC and leadership positions within SAS R&D.
Jared is the author of Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners (John Wiley & Sons, Inc., May 2014).