Thursday, October 11, 2018
09:40 AM - 10:40 AM
Clinical research, life sciences, and the healthcare industry are very data-rich but information-poor. This presentation captures the essence of how a modern data platform deployed in the cloud can be utilized to streamline data collection, data aggregation, and clinical reporting and analytics through the application of good data management and data governance practice. This presentation will cover:
- The modern Data Architecture and platform
- Serverless Computing, Modern Data Pipelines, and Data Services
- Master Data Management and Date Governance
- Cloud architecture, automation, and deployment
Dr. Santikary is an accomplished technology executive with over 20 years of experience across a variety of business, software architecture, and technology domains encompassing modern data architecture, big data, artificial intelligence, distributed computing, and cloud computing. Dr. Santikary is Vice President and Global Chief Data Officer at ERT, a data and technology company minimizing risks and uncertainties in clinical trials so pharma companies can move ahead with their trials with confidence. In his role, Dr. Santikary leads the strategy and execution of the company’s global data architecture and analytics, including cloud architecture, data science, and data governance. Before joining ERT, Dr. Santikary worked as Head of Data Engineering and Director of Engineering at eBay, VP of Engineering at Zeta Global, Chief Architect and Technologist at Sunovion Pharmaceuticals, Director of Data Science and Engineering at EnerNOC, Chief Data Architect at PNC Financial, and as Research Scientist at The University of Michigan, Ann Arbor. A thought leader and a data evangelist, Dr. Santikary has been a frequent speaker at conferences, summits, and meet-ups, evangelizing emerging computer science topics including disruptive architecture and technologies. Dr. Santikary completed his Ph.D. in Computer Simulation at the Indian Institute of Science, Bangalore, India, and post-doctoral research at the University of Michigan.