Optimization Community | Sydney, Australia
August 22, 2024

Iain Jardin
Regional Sales Director, APAC, Gurobi Optimization

Generative AI is the new hot topic, and here at Gurobi, we are keeping a close eye on its possible uses in our industry and a big ear out to hear how our users are using it to extract value for their businesses. In this talk, we will briefly introduce Generative AI, particularly LLMs and the Transformer model, discuss areas where this tool can be useful in the field of Decision Intelligence, and provide an update on the current viewpoints here at Gurobi. Also, we would love to hear what our users are currently doing with Generative AI at this session.

Steven Edwards
Team Lead – Technical Account Management, APAC, Gurobi Optimization

This talk is for optimization enthusiasts in academia and industry, from beginners to advanced practitioners, who are eager to expand their toolkit with valuable and accessible resources. We will explore a variety of free tools, solvers, benchmarks, online repositories, and other resources, that can help in tackling complex combinatorial problems. 

Menkes van den Brian
Cofounder, Earthworm Analytics

This presentation sheds light on how optimisation modelling is a powerful tool for economists in the quest for optimal allocation of limited resources in the transport sector. Through a case study of road freight task optimisation, the presentation demonstrates how optimisation models are leveraged by economists to assess location of strategic infrastructure, schedule freight flows from origins to destinations, and understand the implications of increased freight flows on traffic speeds. These tools can help businesses maximise returns on strategic investments, reduce operational costs and increase efficiency in the supply chain management.

Elaine Luc
Ecomonist, HustonKemp

By 2050, the electrical grid will be a fundamentally different system to the one we have today. Over the next 20 years, we need to learn how to plan, build, and run a new type of grid while preventing it from going down, even for a second.

Undertaking such a monumental exercise is only possible with mathematical optimisation. Modelling allows us to simulate and understand the future grid before we build it. We’re able to understand the requirements and costs of building and operating the grid over the coming decades. Furthermore, we can use modelling to explore the risk of events like blackouts, big price increases, and the impact of delayed transmission and power station build.

Oliver Nunn
Director, Endgame Economics