May 17th 2018
Artificial Intelligence and Data Automation – Game Changer on Data Analysis and Decision-Making
Big data and advances in artificial intelligence technologies signal an era of automation on rapid data collection, revolutionized data analysis capabilities and faster decision-making. The goal of this SDE is to learn about new concepts, trends and solutions as well as to exchange ideas and have open discussions related to artificial intelligence and data automation in healthcare and clinical research. This will help identify the opportunities to take forward strides in the development and optimization of our strategy in the digital age.
Opening Remarks – Patricia Compton, Pfizer
A Leisurely Look at Deep Learning – Demissie Alemayehu, Pfizer
Mining EMR Records with Deep Learning Algorithms for Enhanced Clinical Insights – Shital Desai, Teradata
The OCS’s Use of IBM’s Watson – Vannessa Williams, FDA
Machine Learning in the Pharmaceutical Industry; and the PhUSE Machine Learning Working Group – Kevin Lee, Clindata
PhUSE Update – Chris Hurley, PhUSE Americas Director
An Implementation Model for Machine Learning – Casey Higgins, Covance
Cognitive Analytics for Enhanced Data Analysis and Decision-making – Christopher Asakiewicz, Stevens Institute of Technology
An Animated Guide: Deep Neural Networks in SAS® Enterprise Miner – Russ Lavery, Independent Consultant
View the event brochure.
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