Gurobi Decision Intelligence Summit 2026

October 13-14, 2026

9:00 AM

Fantova Budova, Prague, Czechia

Gurobi Decision Intelligence Summit 2026

October 13-14, 2026

9:00 AM

Fantova Budova, Prague, Czechia

Gurobi Decision Intelligence Summit 2026

October 13-14, 2026

9:00 AM

Fantova Budova, Prague, Czechia

The countdown is on to Decision Intelligence

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The countdown is on to Decision Intelligence

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DAYS
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HOURS
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MINUTES
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SECONDS

The countdown is on to Decision Intelligence

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DAYS
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HOURS
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MINUTES
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SECONDS

Driving Trusted Decisions

Where mathematical optimization comes to life

We’re living in the age of AI, where insight is everywhere—but true impact is rare. While generative AI and machine learning can accelerate exploration by surfacing patterns, scenarios, and possibilities, turning those insights into defensible, high-value decisions requires a different kind of AI: mathematical optimization.​

As everyday business decisions become increasingly tangled with complexity, optimization determines the best course of action within real-world limits to ensure not just better, but optimal outcomes for airlines, healthcare, finance, and beyond.​

Following an unforgettable experience at Vienna's Hofburg Palace last year, the 2026 Gurobi Decision Intelligence Summit will bring us to Prague's iconic Fantova Budova. At the 2026 Gurobi Decision Intelligence Summit, we’ll showcase the real-world impact of optimization through innovative use cases, in-depth trainings, and expert-led panels, while also exploring how GenAI can break down barriers to entry and help more users leverage optimization’s powerful potential.​

Join us to discover why 70% of the world’s leading enterprises trust their most complex business decisions to Gurobi, and learn how your organization can start achieving optimal outcomes, too.

Driving Trusted Decisions

Where mathematical optimization comes to life

We’re living in the age of AI, where insight is everywhere—but true impact is rare. While generative AI and machine learning can accelerate exploration by surfacing patterns, scenarios, and possibilities, turning those insights into defensible, high-value decisions requires a different kind of AI: mathematical optimization.​

As everyday business decisions become increasingly tangled with complexity, optimization determines the best course of action within real-world limits to ensure not just better, but optimal outcomes for airlines, healthcare, finance, and beyond.​

Following an unforgettable experience at Vienna's Hofburg Palace last year, the 2026 Gurobi Decision Intelligence Summit will bring us to Prague's iconic Fantova Budova. At the 2026 Gurobi Decision Intelligence Summit, we’ll showcase the real-world impact of optimization through innovative use cases, in-depth trainings, and expert-led panels, while also exploring how GenAI can break down barriers to entry and help more users leverage optimization’s powerful potential.​

Join us to discover why 70% of the world’s leading enterprises trust their most complex business decisions to Gurobi, and learn how your organization can start achieving optimal outcomes, too.

Driving Trusted Decisions

Where mathematical optimization comes to life

We’re living in the age of AI, where insight is everywhere—but true impact is rare. While generative AI and machine learning can accelerate exploration by surfacing patterns, scenarios, and possibilities, turning those insights into defensible, high-value decisions requires a different kind of AI: mathematical optimization.​

As everyday business decisions become increasingly tangled with complexity, optimization determines the best course of action within real-world limits to ensure not just better, but optimal outcomes for airlines, healthcare, finance, and beyond.​

Following an unforgettable experience at Vienna's Hofburg Palace last year, the 2026 Gurobi Decision Intelligence Summit will bring us to Prague's iconic Fantova Budova. At the 2026 Gurobi Decision Intelligence Summit, we’ll showcase the real-world impact of optimization through innovative use cases, in-depth trainings, and expert-led panels, while also exploring how GenAI can break down barriers to entry and help more users leverage optimization’s powerful potential.​

Join us to discover why 70% of the world’s leading enterprises trust their most complex business decisions to Gurobi, and learn how your organization can start achieving optimal outcomes, too.

Speakers from Leading Companies

Trusted by top organizations worldwide

See how organizations use Gurobi to solve complex problems, improve performance, and drive measurable results.

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Speakers from Leading Companies

Trusted by top organizations worldwide

See how organizations use Gurobi to solve complex problems, improve performance, and drive measurable results.

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Speakers from Leading Companies

Trusted by top organizations worldwide

See how organizations use Gurobi to solve complex problems, improve performance, and drive measurable results.

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Why Attend

At the Gurobi Decision Intelligence Summit, we invite business leaders and technical practitioners to explore how mathematical optimization and decision intelligence empower organizations to move beyond intuition and drive real-world impact. 

Why Attend

At the Gurobi Decision Intelligence Summit, we invite business leaders and technical practitioners to explore how mathematical optimization and decision intelligence empower organizations to move beyond intuition and drive real-world impact. 

Why Attend

At the Gurobi Decision Intelligence Summit, we invite business leaders and technical practitioners to explore how mathematical optimization and decision intelligence empower organizations to move beyond intuition and drive real-world impact. 

Agenda

2026 Gurobi Summit Agenda

A comprehensive breakdown of topics to be covered, designed to provide maximum value.

Session Type

Agenda

2026 Gurobi Summit Agenda

A comprehensive breakdown of topics to be covered, designed to provide maximum value.

Agenda

2026 Gurobi Summit Agenda

A comprehensive breakdown of topics to be covered, designed to provide maximum value.

Session Type

Speakers

Meet Your Expert Speakers

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of optimization.

  • Sven Stringer

    TAM & Community Lead at Dutch Railways

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    Before joining NS (Dutch Railways) Sven Stringer contributed as a data scientist to production-grade machine learning models at several large Dutch organizations. Within NS his focus has increasingly shifted towards solvers. Currently he is - among other roles - Product Owner of the rolling stock planning solver TAM and Community Lead of the Solver Engineering community within NS. 

  • Moses Thangasamy

    Leader in AI, Data Science and Analytics at ALDI Australia

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    Moses Thangasamy is a leader in AI, data science and analytics, currently leading AI and Data Science at ALDI Australia. He has held senior roles at Australia’s largest bank, largest hospital network and largest insurer, building teams that use optimisation, machine learning and AI to solve complex, real-world business problems. Moses is known for translating data into practical leadership decisions, with a strong focus on balancing technical excellence with business outcomes. 

  • Javier García Rodríguez

    Optimisation Engineering Manager at Ryanair

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    Javier García Rodríguez is Optimisation Engineering Manager at Ryanair, where he defines and delivers the optimisation strategy for Europe's largest airline — building software that powers decisions across scheduling, operations, crew, and commercial through mathematical optimisation and machine learning. Javier holds a PhD in Mathematics from Universidad Autónoma de Madrid and an MSc from the University of Bonn, and previously worked as a data scientist at different consulting firms and industries, including Tessella, P3 Group, and the INVETT autonomous-driving research group.

  • Pranay Seshadri

    Digital Portfolio Optimisation Leader at KI Insurance

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    Pranay Seshadri leads the Digital Portfolio Optimisation Team at Ki Insurance, London's first fully algorithmic Lloyd's syndicate. He holds a PhD in Computational Engineering from the University of Cambridge, where his research focused on large-scale optimisation under uncertainty. Prior to his current role at Ki, he was previously an Associate Professor at Georgia Tech in Aerospace Engineering & Machine Learning. 

  • Svend Jensen

    Nordic Ad Ops Director at Warner Bros. Discovery

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    With more than three decades in the Nordic media industry, Svend Jensen has led teams and initiatives through multiple waves of transformation—from analogue broadcasting to digital media and connected TV. As Nordic Ad Ops Director at Warner Bros. Discovery, he focuses on applying data, automation, and optimization principles to solve complex business problems. His work centers on improving decision quality, streamlining operations, and creating measurable value through practical, scalable solutions that bridge technology, commercial strategy, and day-to-day execution. 

Speakers

Meet Your Expert Speakers

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of optimization.

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    TAM & Community Lead at Dutch Railways

    Sven Stringer

    Before joining NS (Dutch Railways) Sven Stringer contributed as a data scientist to production-grade machine learning models at several large Dutch organizations. Within NS his focus has increasingly shifted towards solvers. Currently he is - among other roles - Product Owner of the rolling stock planning solver TAM and Community Lead of the Solver Engineering community within NS. 

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    Leader in AI, Data Science and Analytics at ALDI Australia

    Moses Thangasamy

    Moses Thangasamy is a leader in AI, data science and analytics, currently leading AI and Data Science at ALDI Australia. He has held senior roles at Australia’s largest bank, largest hospital network and largest insurer, building teams that use optimisation, machine learning and AI to solve complex, real-world business problems. Moses is known for translating data into practical leadership decisions, with a strong focus on balancing technical excellence with business outcomes. 

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    Optimisation Engineering Manager at Ryanair

    Javier García Rodríguez

    Javier García Rodríguez is Optimisation Engineering Manager at Ryanair, where he defines and delivers the optimisation strategy for Europe's largest airline — building software that powers decisions across scheduling, operations, crew, and commercial through mathematical optimisation and machine learning. Javier holds a PhD in Mathematics from Universidad Autónoma de Madrid and an MSc from the University of Bonn, and previously worked as a data scientist at different consulting firms and industries, including Tessella, P3 Group, and the INVETT autonomous-driving research group.

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    Digital Portfolio Optimisation Leader at KI Insurance

    Pranay Seshadri

    Pranay Seshadri leads the Digital Portfolio Optimisation Team at Ki Insurance, London's first fully algorithmic Lloyd's syndicate. He holds a PhD in Computational Engineering from the University of Cambridge, where his research focused on large-scale optimisation under uncertainty. Prior to his current role at Ki, he was previously an Associate Professor at Georgia Tech in Aerospace Engineering & Machine Learning. 

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    Nordic Ad Ops Director at Warner Bros. Discovery

    Svend Jensen

    With more than three decades in the Nordic media industry, Svend Jensen has led teams and initiatives through multiple waves of transformation—from analogue broadcasting to digital media and connected TV. As Nordic Ad Ops Director at Warner Bros. Discovery, he focuses on applying data, automation, and optimization principles to solve complex business problems. His work centers on improving decision quality, streamlining operations, and creating measurable value through practical, scalable solutions that bridge technology, commercial strategy, and day-to-day execution. 

Speakers

Meet Your Expert Speakers

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of optimization.

  • Sven Stringer

    TAM & Community Lead at Dutch Railways

    Image

    Before joining NS (Dutch Railways) Sven Stringer contributed as a data scientist to production-grade machine learning models at several large Dutch organizations. Within NS his focus has increasingly shifted towards solvers. Currently he is - among other roles - Product Owner of the rolling stock planning solver TAM and Community Lead of the Solver Engineering community within NS. 

  • Moses Thangasamy

    Leader in AI, Data Science and Analytics at ALDI Australia

    Image

    Moses Thangasamy is a leader in AI, data science and analytics, currently leading AI and Data Science at ALDI Australia. He has held senior roles at Australia’s largest bank, largest hospital network and largest insurer, building teams that use optimisation, machine learning and AI to solve complex, real-world business problems. Moses is known for translating data into practical leadership decisions, with a strong focus on balancing technical excellence with business outcomes. 

  • Javier García Rodríguez

    Optimisation Engineering Manager at Ryanair

    Image

    Javier García Rodríguez is Optimisation Engineering Manager at Ryanair, where he defines and delivers the optimisation strategy for Europe's largest airline — building software that powers decisions across scheduling, operations, crew, and commercial through mathematical optimisation and machine learning. Javier holds a PhD in Mathematics from Universidad Autónoma de Madrid and an MSc from the University of Bonn, and previously worked as a data scientist at different consulting firms and industries, including Tessella, P3 Group, and the INVETT autonomous-driving research group.

  • Pranay Seshadri

    Digital Portfolio Optimisation Leader at KI Insurance

    Image

    Pranay Seshadri leads the Digital Portfolio Optimisation Team at Ki Insurance, London's first fully algorithmic Lloyd's syndicate. He holds a PhD in Computational Engineering from the University of Cambridge, where his research focused on large-scale optimisation under uncertainty. Prior to his current role at Ki, he was previously an Associate Professor at Georgia Tech in Aerospace Engineering & Machine Learning. 

  • Svend Jensen

    Nordic Ad Ops Director at Warner Bros. Discovery

    Image

    With more than three decades in the Nordic media industry, Svend Jensen has led teams and initiatives through multiple waves of transformation—from analogue broadcasting to digital media and connected TV. As Nordic Ad Ops Director at Warner Bros. Discovery, he focuses on applying data, automation, and optimization principles to solve complex business problems. His work centers on improving decision quality, streamlining operations, and creating measurable value through practical, scalable solutions that bridge technology, commercial strategy, and day-to-day execution. 

Accommodations

We can't wait to see you in Prague!


Fantova Budova - Prague

Hlavni vlakové nádraží v, Wilsonova 300/8, 110 00 Vinohrady, Czechia

Get Directions

Accommodations

We can't wait to see you in Prague!


Fantova Budova - Prague

Hlavni vlakové nádraží v, Wilsonova 300/8, 110 00 Vinohrady, Czechia

Get Directions

Accommodations

We can't wait to see you in Prague!


Fantova Budova - Prague

Hlavni vlakové nádraží v, Wilsonova 300/8, 110 00 Vinohrady, Czechia

Get Directions

FAQs


What are the 1:1 Meetings at the Gurobi Summit?

The 1:1 Meetings offer attendees the opportunity to schedule a dedicated session with a Gurobi expert during the Summit. These personalized discussions are designed to address your specific challenges, projects, or optimization questions in a focused and confidential setting.

Whether you are exploring new optimization use cases, scaling existing models, facing performance challenges, or evaluating strategic next steps, our experts will provide tailored insights based on your current situation. The goal is to help you better understand how mathematical optimization can support your objectives and where Gurobi can add measurable value.

We encourage participants to come prepared with context about their models, constraints, or decision processes to make the most of the session. You can request a 1:1 Meeting directly through the registration form.

What can I expect from the Summit?

How do I choose between the Business and Technical tracks?

Do I have to attend sessions within one track?

Is there a registration fee?

FAQs


What are the 1:1 Meetings at the Gurobi Summit?

The 1:1 Meetings offer attendees the opportunity to schedule a dedicated session with a Gurobi expert during the Summit. These personalized discussions are designed to address your specific challenges, projects, or optimization questions in a focused and confidential setting.

Whether you are exploring new optimization use cases, scaling existing models, facing performance challenges, or evaluating strategic next steps, our experts will provide tailored insights based on your current situation. The goal is to help you better understand how mathematical optimization can support your objectives and where Gurobi can add measurable value.

We encourage participants to come prepared with context about their models, constraints, or decision processes to make the most of the session. You can request a 1:1 Meeting directly through the registration form.

What can I expect from the Summit?

How do I choose between the Business and Technical tracks?

Do I have to attend sessions within one track?

Is there a registration fee?

FAQs


What are the 1:1 Meetings at the Gurobi Summit?

The 1:1 Meetings offer attendees the opportunity to schedule a dedicated session with a Gurobi expert during the Summit. These personalized discussions are designed to address your specific challenges, projects, or optimization questions in a focused and confidential setting.

Whether you are exploring new optimization use cases, scaling existing models, facing performance challenges, or evaluating strategic next steps, our experts will provide tailored insights based on your current situation. The goal is to help you better understand how mathematical optimization can support your objectives and where Gurobi can add measurable value.

We encourage participants to come prepared with context about their models, constraints, or decision processes to make the most of the session. You can request a 1:1 Meeting directly through the registration form.

What can I expect from the Summit?

How do I choose between the Business and Technical tracks?

Do I have to attend sessions within one track?

Is there a registration fee?

register

Secure Your Spot Today!

Don't miss out on these invaluable insights. Register now to revolutionize your customer engagement strategy.

register

Secure Your Spot Today!

Don't miss out on these invaluable insights. Register now to revolutionize your customer engagement strategy.

register

Secure Your Spot Today!

Don't miss out on these invaluable insights. Register now to revolutionize your customer engagement strategy.

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Join our newsletter to stay up to date on features releases and more.

By subscribing you agree to with our Privacy Policy

© Gurobi Optimization, LLC. All Rights Reserved.