N-SIDE Annual CT-FAST User Group 2018: Discover the conference highlights!
The N-SIDE Annual CT-FAST User Group Meeting took place in Parsippany, NJ. Our global customers met together to share experiences, enjoy shared-learning and stay on top of the latest innovation in clinical trial supplies optimization and forecasting! Some highlights...
read moreN-SIDE, sponsor of the INNOGRID2020+ conference, May 15-16
N-SIDE is one of the main sponsors of the INNOGRID2020+ conference on May 15-16 in Brussels! This European innovative power conference is organised by ENDSO for Smart grids, European DSOs association and by ENTSO-e, European TSOs association. INNOGRID2020+ will give...
read moreN-SIDE gives a talk about “Advanced analytics : A key enabler for the Energy transition ” at the UCLouvain Energy day on Monday 16 April 2018
N-SIDE participates to the Energy workshop organized by the University of Louvain at the CORE (Center for operations research and econometrics - UCLouvain). Philippe Chevalier (President of the CORE, UCLouvain & President of N-SIDE) and Olivier Devolder (Head of...
read moreGetting Clinical Trial Supplies a Seat at the Table!
How to increase collaboration and improve communication across departments over the course of trial? Join the workshop co-facilitated by Cyrille Lefevre, N-SIDE’s Head of Consulting Group US, at the Global Clinical Supply Group annual conference in Atlanta, Georgia,...
read moreImprove Performance and Ensure Better Planning with Clinical Supply Portfolio-level Visualization
Visualizing your clinical trial supply forecasts at portfolio-level helps strategic and operational decision-making. By intuitively interacting with your optimized data at this level, you have a clear overview of your portfolio and can immediately identify areas of...
read moreCombining Jupyter, Docker and Dask to build a scalable machine learning environment
Meet Loïc Quertenmont, Ph.D., N-SIDE expert in Machine Learning, at the Data Science Liège - MEETUP #2 that will take place on Friday March 9th at 6:30 PM. In his presentation "Combining Jupyter, Docker and Dask to build a scalable machine learning...
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