Sanofi Webinar: Performing end-to-end real-world evidence generation with traceability and transparency on AWS

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 support for advanced analytics and machine learning for day-to-day evidence generation (RWE).

From this webinar you will learn:

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

[Access Webinar]: End-to-end RWE generation on AWS

Duration: 45 min

Featured Speakers

Harini Gopalakrishnan
Medical and Enterprise Analytics Lead, Sanofi
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, Sanofi
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 RWE while at Sanofi.