Empowering Bold Decisions

Please come with plenty of time to get settled. Coffee, tea and the Gurobi team will be waiting to welcome you and get you set up for the day.

Join Duke Perrucci, CEO of Gurobi Optimization, as he kicks off the summit with an inspiring keynote on the transformative power of mathematical optimization. In a world increasingly driven by complex decisions and data, optimization has become a critical tool for organizations striving to operate smarter, faster, and more efficiently.

Duke will share his vision for the future of decision intelligence, Gurobi’s role in shaping that future, and how innovation and customer collaboration continue to fuel the company’s growth.

Join Oliver Bastert, Gurobi’s Chief Technology Officer, for an inside look at the Gurobi product roadmap. He’ll share what’s new, what’s coming next, and how Gurobi continues to push the boundaries of solver performance and innovation. Learn how customer feedback, emerging technologies, and industry trends are shaping the future of our optimization engine.

Efficient planning and cost-effective rollout of fiber optic networks are major challenges for infrastructure providers and municipalities. At A1, we are using a fully automated FTTH planning tool to define expansion areas directly within the GIS system and calculate reliable preliminary designs, including detailed cost reports, within minutes.
This approach allows us to calculate hundreds of networks and various expansion strategies in parallel which we then prioritize based on ROI and revenue forecasts. The result: greater transparency in decision-making, significant time and cost savings, and maximum planning confidence for all stakeholders in fiber network deployment.

Enjoy your hot or cold drink while connecting with fellow attendees. A perfect moment to recharge and network.

Join Ronald van der Velden, Manager of Technical Account Management – EMEA, and Kostja Siefen, Senior Director of Technical Account Management, for an inspiring look at what it means to Empower Bold Decisions with Gurobi. Discover how technical users are modeling complexity without compromise, solving ambitious challenges, and turning data into action through advanced mathematical optimization. This session will highlight real-world examples, best practices, and the strategic role of technical collaboration in maximizing the value of optimization.

Take a break to enjoy lunch, connect with peers, speakers and the Gurobi team and recharge for the afternoon sessions.

Significant progress in optimization software can be facilitated by advances in algorithms or computing environments.  2025 has been a particularly exciting year in optimization due to advances in both.  Graphical Processor Units (GPUs) have been very successful in the computations associated with Large Languages Models (LLMs), raising the question of whether they provide similar performance
boosts to optimization algorithms.  GPUs can perform very simple calculations with massive parallelism.

However, most of the computations in the simplex methods, barrier algorithm, and branch and bound algorithm are more complex.  Thus, attaining massive speed ups in GPUs for these methods is more complicated than simply recompiling existing implementations on a machine with GPU.  Fortunately, the recent appearance of the Primal-Dual Hybrid Gradient algorithm (PDHG) illustrates the synergy between hardware and software that yields potentially larger speedups. PDHG relies on only the simple computations upon which GPUs thrive.

This presentation will provide a preview into version 13 of Gurobi, scheduled for November of 2025.  This will include an update on development efforts on PDHG, both on CPUs and GPUs.   We will also discuss advances in the global MINLP solver, including support for additional modeling constructs, improved heuristics, development efforts on a dedicated local nonlinear solver, and other performance improvements.

This presentation offers a unique opportunity to witness live optimization model tuning by Gurobi Experts. We will demonstrate real-time parameter adjustments, showcasing the step-by-step process and strategies employed to enhance performance. Attendees will gain valuable insights into identifying key performance factors and mastering parameter tuning techniques for optimized results. If you have a model you’d like to see tuned during the session, please reach out to us at support@gurobi.com for instructions to send us your model.

In this session we explore some of Gurobi’s advanced features through the lens of solution explainability, including solution pools, infeasibility analysis, and multi-scenario analysis.   Explainability in practice requires both technical skills and successful communication with stakeholders who don’t know how Gurobi works (and that’s ok!).  We show how these tools are not just for modeling – they can help users interpret optimization results and build trust their solutions.

Gurobi has a ScaleFlag parameter that can help improve performance on numerically unruly  models. However, in some cases using this parameter treats the symptom of the problem rather than the root cause.

Better performance, both regarding run time and solution quality, may be obtained by considering the best scaling choices during the model formulation process. After discussing suitable background information, this presentation will consider scaling strategies for model creation, including proper choice of units of measurement and alternate formulations to preempt numerical problems.

Explore how to use Large Language Models (LLM) to find ideas, develop models, and write code.

Finding high-quality feasible solutions quickly is a key challenge in real-world optimization applications. Gurobi is equipped with a rich set of heuristics that enable rapid solution generation and improvement to strike the balance between time-to-good-solutions and proof-of-quality. This talk will explore heuristics as an integral part of Gurobi’s solving strategy and demonstrate how certain non-default settings can drastically reduce the time-to-first-solution on certain models. Join us to discover how Gurobi makes advanced mathematical optimization a practical and effective tool for real-world decision-making.

Take a break to enjoy lunch, connect with peers, speakers and the Gurobi team and recharge for the afternoon sessions.

Most optimization projects promise business value – but too many never move beyond the model. Why? Because adoption depends on more than math: it’s about trust, operational reality, and clear communication.

The BmO workshop at the Gurobi Decision Intelligence Summit 2025 is designed to bridge this gap. We’ll move beyond theory to tackle the real reasons why optimization fails – or succeeds – in the field:
• How do you translate technical models into outcomes that business leaders understand and value?
• How do you build trust in your data and your recommendations, across silos?
• What makes an optimization tool truly indispensable – and what happens when it’s gone?
• How do you overcome objections, skepticism, or change fatigue?
Through practical exercises, peer learning, and candid discussions, you’ll gain tools and strategies to turn analytics into real business impact.
Whether you’re an optimizer, a business leader, or somewhere in between – BmO is your chance to close the gap between models and results.

Join us to transform optimization from an academic exercise into an engine for operational excellence and real-world value.

Most optimization projects promise business value – but too many never move beyond the model. Why? Because adoption depends on more than math: it’s about trust, operational reality, and clear communication.

The BmO workshop at the Gurobi Decision Intelligence Summit 2025 is designed to bridge this gap. We’ll move beyond theory to tackle the real reasons why optimization fails – or succeeds – in the field:
• How do you translate technical models into outcomes that business leaders understand and value?
• How do you build trust in your data and your recommendations, across silos?
• What makes an optimization tool truly indispensable – and what happens when it’s gone?
• How do you overcome objections, skepticism, or change fatigue?
Through practical exercises, peer learning, and candid discussions, you’ll gain tools and strategies to turn analytics into real business impact.
Whether you’re an optimizer, a business leader, or somewhere in between – BmO is your chance to close the gap between models and results.

Join us to transform optimization from an academic exercise into an engine for operational excellence and real-world value.

SAP is the global leader in Supply Chain Management Software, offering a wide array of cloud and on-premise solutions for supply chain planning, logistics, manufacturing, product lifecycle management, enterprise asset management, and sustainable supply chains. For over 25 years, optimization algorithms have been a core component of SAP’s Supply Chain solutions.

Applying these algorithms to real-world, large-scale supply chains presents significant functional and performance challenges. To address these, SAP employs a variety of optimization algorithms tailored to the complexity of the problem, often combined with (meta-)heuristics to enhance scalability and performance.

This talk provides an overview of the algorithms used in different solution areas and highlights the challenges in terms of scope, data volume, and scalability of real-world planning problems faced by SAP customers.

Take a break to enjoy lunch, connect with peers, speakers and the Gurobi team and recharge for the afternoon sessions.

Enjoy a relaxed setting to continue the day’s conversations, exchange ideas, and build new connections over drinks and light refreshments. Our Speaker Hub will give you the chance to engage directly with all speakers, ask follow-up questions from the sessions, and dive deeper into topics that matter most to you. This is your opportunity to combine networking, knowledge-sharing, and a bit of celebration as we wrap up the day.

In this session, we will familiarize users with LP and MIP optimization models. In the first part, we will explain how a generic optimization model differs from an LP, give a geometric interpretation to a specific LP instance, and give high-level (geometric) ideas behind the simplex and interior-point algorithms for solving LP. In the second part, besides presenting a specific and simple MIP model, we will demonstrate basic techniques for solving MIP. Specifically, we will exemplify branch-and-cut framework, demonstrate forming bounds on MIP, presolve, cutting planes, heuristics, and discuss termination criteria. The session will conclude with basics of log-file reading and interpretation.

Join this engaging panel moderated by Silvana, Director of Product Marketing, as Gurobi’s brightest minds—Sonja Mars, VP of Support, Tobias, VP of Research and Development and Robert Luce, Principal Developer—come together to share their perspectives. Hear directly from our technical leaders as they discuss challenges, innovations, and the future of optimization, offering unique insights into how Gurobi continues to push the boundaries of what’s possible.

In addition to solving LPs, MIPs and MIQCPs, Gurobi has many useful features that you may not be aware of. In this talk we review modeling features such as multiple objectives, multiple scenarios, solution pools and general constraints. We also present features to help analyzing infeasibility and tools designed to analyze and improve the performance of Gurobi on your models.