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Automation with Intelligence: From Standard-Based Solution to Metadata-Driven Automation
Session Chair(s)
Hanming Tu, MSc
Vice President, IT
Frontage Laboratories, Inc., United States
This session will discuss the challenges in managing the standard adoption, the potential points for automation through utilizing robotic process automation and artificial intelligence and the maturity model for metadata driven automation.
Learning Objective : Discuss challenges in streamlining the process for automation in clinical data transformation and standardization; Describe how to leverage the development of technologies in robotic process automation and artificial intelligence for automation; Define how to display automation maturity model to transform standard base solution into metadata driven automation
Speaker(s)
Rapid Transformations to Standard Data Models via Automation and Machine Learning
Silas McKee, MSc
Accenture, United States
Technology Consulting Manager
The Growing Impact of Big Data and Emerging Technologies: Increased Commercial Visibility, Efficiency, Outcomes, and Safety
David Kiger
Biofourmis, United States
VP, Business Development
The Perfect Partnership: Machine Learning and CDISC
Kevin Lee, MS
ClinData Insight, United States
Director of Data Science
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