EMEA Life Science Data Forum – Where Data Does More
We are thrilled to announce the return of our EMEA Life Sciences Data Forum in Belgium. After our successful inaugural event in November 2023, this event will reconnect Snowflake customers, partners, and Life Sciences experts, to share best practices, address the latest industry trends and discuss common data use cases unique to the EMEA Life Sciences market. Presentations will cover a variety of topics including the need to unite disparate data sources to form the foundation for a comprehensive view of a patient’s journey; the importance of secure, cross-organisational data sharing to accelerate drug discovery, optimize clinical trials, and improve diagnostic accuracy; and how AI can power predictive analytics, personalize treatment plans, and streamline clinical operations to enhance efficiency and patient care using FAIR principles for data.
Agenda
Arrivals and Networking with Partners
Welcome & Opening Keynote Featuring Novartis
Networking Break
Breakout Tracks
Networking Lunch
By-invite only Executive Networking Lunch
Breakout Tracks
Networking Break
Breakout Tracks
Networking Drinks & Bites
Event Close
Speakers
-
Ignacio Huesa
Global Executive Director, Customer Data Strategy & Governance
Novartis -
Alistair Hankin
Industry Principal, Healthcare & Life Sciences
Snowflake -
Daniel Mannino
Industry Field CTO Healthcare & Life Sciences
Snowflake
Black Diamond Partners
Venue Directions
View detailed instructions here on how to arrive by car, train, or from Brussels Airport.
The venue is located 1.2km from Brussels Airport.
EMEA Life Science Data Forum – Where Data Does More
We are thrilled to announce the return of our EMEA Life Sciences Data Forum in Belgium. After our successful inaugural event in November 2023, this event will reconnect Snowflake customers, partners, and Life Sciences experts, to share best practices, address the latest industry trends and discuss common data use cases unique to the EMEA Life Sciences market. Presentations will cover a variety of topics including the need to unite disparate data sources to form the foundation for a comprehensive view of a patient’s journey; the importance of secure, cross-organisational data sharing to accelerate drug discovery, optimize clinical trials, and improve diagnostic accuracy; and how AI can power predictive analytics, personalize treatment plans, and streamline clinical operations to enhance efficiency and patient care using FAIR principles for data.
SAVE YOUR SPOT!
Tuesday, 25 November
10:00 – 16:00