On April 03-05, 2022, the INFORMS Business Analytics Conference was back as an in-person conference for the first time since 2019. Therefore Adam, Stefan, and Maurice traveled to Houston to attend the conference and represent the GAMS team. Our team held a successful pre-conference workshop as well as a technology tutorial on GAMS ENGINE and GAMS Transfer and had lots of interesting conversations at our booth in the exhibition hall.
In addition, GAMS sponsored this year’s Franz Edelman Award and attended the Award ceremony. Once more, the work of all finalists was very impressive, and we would like to congratulate them again for their accomplishments. It was a very well-organized conference with plenty of interesting talks and workshops to attend.
Our Technical Workshop
Model deployment and data wrangling with GAMS Engine and GAMS Transfer
Presented by: Adam Christensen & Stefan Mann
The right tools help you deploy your GAMS model and maximize the impact of your decision support application.
GAMS Engine is a powerful tool for solving GAMS models, either on-prem or in the cloud. Engine acts as a broker between applications or users with GAMS models to solve and the computational resources used for this task. Central to Engine is a modern REST API that provides an interface to a scalable, containerized system of services, providing API, database, queue, and a configurable number of GAMS workers. GAMS Engine is available as a standalone application, or as a Software-As-A-Service solution running on AWS.
GAMS Transfer is an API (available in Python, Matlab, and soon R) that makes moving data between GAMS and your computational environment fast and easy. By leveraging open source data science tools such as Pandas/Numpy, GAMS Transfer is able to take advantage of a suite of useful (and platform independent) I/O tools to deposit data into GDX or withdraw GDX results to a number of data endpoints (i.e., visualizations, databases, etc.).