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How Vodafone Uses Optimization to Tackle the Telecom Industry's Toughest Problems
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In this webinar, you will learn how Vodafone uses the Gurobi Optimizer to address some of the most challenging optimization problems in the telecommunications industry.
For example, Vodafone must be able to determine:
- How to optimally design their fibre networks to maximize return on investment.
- How to configure their network of retail shops to optimally support sales under various constraints.
- How – in the wake of the COVID-19 lockdown – they can re-open as many shops as possible, serving as many customers as possible.
Vodafone uses mathematical optimization to tackle these and other complex, real-world business problems. By defining these large-scale problems as integer linear programs (ILPs) on graphs, users can solve these problems and, if necessary, add additional business constraints.
In this webinar, you will learn:
- How to formulate graph optimization problems as ILPs.
- How to create different formulations leading to exponential or linear-size constraint systems.
- How to use GraphILP-API which will help you translate graph problems into linear programs.
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Presenter
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Our Mission
Gurobi strives to help companies make better decisions through the use of prescriptive analytics. We provide the best math programming solver, tools for distributed optimization, optimization in the cloud, and outstanding support. We are committed to improving our solver performance and developing tools to help you use Gurobi with more ease.
Founded in 2008 by arguably the most experienced and respected team in optimization circles, we have successfully expanded to serving over 2,400 companies from a wide range of industries, by way of providing the right mix of advanced developments and technologies, world-class support and flexible licensing.
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#vodafone #optimization #telecommunication #ILP #AI #datascience #dataanalytics #analytics #artificialintelligence #MIP #programming #prescriptiveanalytics #bigdata #mathematicaloptimization #Gurobi #webinar
For example, Vodafone must be able to determine:
- How to optimally design their fibre networks to maximize return on investment.
- How to configure their network of retail shops to optimally support sales under various constraints.
- How – in the wake of the COVID-19 lockdown – they can re-open as many shops as possible, serving as many customers as possible.
Vodafone uses mathematical optimization to tackle these and other complex, real-world business problems. By defining these large-scale problems as integer linear programs (ILPs) on graphs, users can solve these problems and, if necessary, add additional business constraints.
In this webinar, you will learn:
- How to formulate graph optimization problems as ILPs.
- How to create different formulations leading to exponential or linear-size constraint systems.
- How to use GraphILP-API which will help you translate graph problems into linear programs.
---
Presenter
--
--
Our Mission
Gurobi strives to help companies make better decisions through the use of prescriptive analytics. We provide the best math programming solver, tools for distributed optimization, optimization in the cloud, and outstanding support. We are committed to improving our solver performance and developing tools to help you use Gurobi with more ease.
Founded in 2008 by arguably the most experienced and respected team in optimization circles, we have successfully expanded to serving over 2,400 companies from a wide range of industries, by way of providing the right mix of advanced developments and technologies, world-class support and flexible licensing.
--
#vodafone #optimization #telecommunication #ILP #AI #datascience #dataanalytics #analytics #artificialintelligence #MIP #programming #prescriptiveanalytics #bigdata #mathematicaloptimization #Gurobi #webinar
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