SANOFI CUSTOMER DAY
Responsible AI & Innovation:
How Life Science Industry can strongly benefit from these standards?
The event is not available for registration.
Event date & agenda to be redefined in the future.
This is a Sanofi exclusive event, aimed to inspire you on industry trends on analytics and AI, update you on SAS new capabilities, and leverage your experience if you are a SAS user.
For over two decades, SAS has been at the forefront of delivering analytics solutions to Sanofi, supporting your innovation and digital transformation strategies.
As Sanofi commits to prioritizing responsible AI and innovation, we remain committed to providing industry-leading expertise and support.
This exclusive Sanofi Day aims to share insights and showcase SAS industry expertise in adhering to Responsible AI standards and leveraging these standards to drive transformation in the Life Sciences.
If you are a Sanofi SAS Users, we will deliver customized workshops sessions to enhance your SAS Experience within your Sanofi environment. The goal here is to make sure you can be efficient with our tools, improve your user experience, and let you explore new use cases and capacities.
What can you expect?
- Data Diversity : Enjoy and be inspired by the discussion between Sanofi and SAS execs on Data Diversity and Ethics, what the regulators say, how does that impact Lifescience operations, what trends on the market ?
- Innovation : Learn how Responsible AI can revolutionize Clinical Operations while relying on Data Diversity and ESG standards
- SAS on eWise : Enhance your user experience by SAS Viya eWise user immersion, best practices, and innovative use cases around open source.
Don't miss out on this unique opportunity!
Speakers
Agenda
Tuesday 24th October 2023 (UTC+02:00,CET) | ||
| 2:00 - 2:10 pm | Introduction
| |
| 2.10 - 2.20 pm | Voice of the Customer What are the impacts of ESG requirements and Responsible AI in Digital Transformation roadmap? | |
| 2.20 - 3.00 pm | Executive Round Table The Role of Ensuring Diversity and Mitigating Bias in Life Sciences Data Projects Sylvain Nicolas, Head of the Transformation and Performance Office of Clinical Sciences & Operations at Sanofi R&D | |
| 3.00 - 3.15 pm | Break | |
SAS USERS STREAM | INNOVATION STREAM | |
| 3:15 - 3:20 pm | Introduction Will Shellman, Sr Customer Success Manager Sanofi, SAS | Introduction Welcome words & how Olivier Bouchard, Global Technical Account Manager for Sanofi at SAS |
| 3:20 - 3:50 pm | eWise immersion | ESG Monitoring Strategies |
| 3.50 - 4.25 pm | SAS Studio Best Practices Extend your expertise by learning some key SAS Studio best practices. This session offers actionable tips to optimize your daily workflow, ensuring you fully leverage the capabilities of SAS Studio for improved efficiency and effectiveness. Mohammed Bouazzaoui, Global Customer Success Manager Sanofi, SAS Yulia Paramonova, Customer Advisor, SAS | Diversity in Clinical trial environments The need for increased diversity in clinical trials isn’t just a current trend, but a longtime focus of many organizations across the life sciences industry. But, a simple focus isn’t enough: we need action. The inclusion of diverse, representative populations in clinical trials is crucial to the future of drug development and therapy delivery. And with the use of responsible AI, the industry now has the opportunity to drive stronger, more diverse outcomes, more effectively. In this session, hear from industry experts as we discuss the use of real world data, advanced analytics, and responsible AI to increase diversity and representation in your clinical programs. Kayt Leonard, Global Health Care and Life Sciences Strategic Advisor, SAS Sherrine Eid, Advisory Industry Consultant, SAS |
| 4:25 - 5:00 pm | Open Source in Viya | Trustworthy AI in Pharma Manufacturing and Supply Chain “Doing More with Less leveraging AI that people trust” Sharon Napier, Advisory Business Development Specialist, SAS |
Registration
The event is not available for registration.
Event date & agenda to be redefined in the future.