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ON DEMAND - Deploying Machine Learning in Data Management
Session Chair(s)
Raj Indupuri, MBA
Chief Executive Officer
eClinical Solutions, United States
Advancements in machine learning and AI are having a huge impact on businesses in a wide range of industries. In data management, machine learning is being embedded in tools to help automate and optimize processes and performance. By deploying AI to handle the time consuming tasks of mapping data and piecing disparate systems together, data managers and data scientists are given the time and freedom to focus on solving real problems. What are some of the practical ways intelligent process automation (IPA) and machine learning can be leveraged by statisticians and clinical trialists today? What are some of the potential applications being currently explored? This forum will highlight crucial lessons from case studies and how they can be applied within data management, including robotic process automation (RPA) for data integration, machine learning, and applying advanced algorithms for analytics and enhanced data review.
Learning Objective : Outline the practical applications of machine learning in data management; Demonstrate the benefits of robotic process automation (RPA) and data integration
Speaker(s)
Panelist
Jaishree Jaishankar, MBA
Dell Technologies, United States
Head of Portfolio and Product management, Data Analytics and Automation, Global
Panelist
Benjamin Letson, PhD
SFL Scientific, a Deloitte Business, United States
HCLS AI Leader, SFL Scientific
Panelist
Chandi Kodthiwada, MS
Takeda, United States
Head of Product Management, R&D IT
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