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