Optimization Community | Melbourne, Australia
August 29, 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 will explore advanced strategies for optimising hospital operations, focusing on Operating Room (OR) management. It will address the challenges hospitals face in balancing goals and managing uncertainties in surgery demand, particularly the interplay of objectives and constraints in ORs.

By combining Data Science, Mixed Integer Programming, and Stochastic Optimisation, the talk will demonstrate how preliminary scheduling decisions can be dynamically adjusted with real-time data. This approach aims to reduce costs and improve OR utilisation, balancing the needs of various surgeries under limited resources. Ultimately, the presentation offers insights into how combination of data science and mathematical models can help hospitals navigate the complexities of modern healthcare delivery through innovative, data-driven strategies.

Dr. Hamideh Anjomshoa
Senior Data Scientist – Clinical, St John of God Health Care

The way we think about problems from a business lens and an optimisation lens can be very different.  I will take a look at some of the differences, what the modes can learn from each other, and why thinking like a business person makes you better at solving optimisation problems and thinking like an optimisation person makes you better at solving business problems.  I will also touch on “interdisciplinary work” which is usually fundamental to actually getting things done and having a successful project.

Olivia Smith
Senior Analytics Translator, NBN Co

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