Gaining insights and knowledge from real-world health data (RWD), i.,e data acquired outside the context of randomized clinical trials, has been an area of continued opportunity for pharma organizations. In this webinar you will hear about Sanofi’s journey and experience in building an industrialized big data & analytics platform in the cloud that handles billions of rows of RWD data with complete data traceability, security, and supports both traditional (e.g comparative effectiveness) and advanced analytics (e.g. machine learning , NLP) for day to day evidence generation (RWE).

From this webinar you will learn:

  • What real-world data and real-world evidence is, how is it generated, and what value does it drive for life sciences in general
  • How can traditional analytics and machine learning in the cloud be applied to solve business challenges
  • What are some considerations and challenges related to data security, privacy, and industrialization in a big data platform hosted in the cloud

Featured Speakers

Harini Gopalakrishnan

Medical and Enterprise Analytics Lead

Harini leads Medical and enterprise analytics in Sanofi and oversaw the implementation of Sanofi’s RWE Strategy into an end to end big data analytics platform on the cloud. She has a diverse experience that combines research informatics, Real world evidence analytics and big data technologies and has worked across several life science customers in her past life. She has a Master’s in Bioinformatics and an engineering in Computer Science.

Martin Longpre

RWE Analytics Solution Architect

Martin is the Medical solution architect  who engineered the data flow on the cloud along with the integration of various components. He is a Computer Engineer and has led the implementation of several platforms for R&D and more particularly the Sanofi’s RWE big data analytics platform.

Date:  Tuesday, April 21, 2020
Time:  11am EST / 8am PST
Duration:  1 Hour

Register now for this webinar