Optimization Direct Introduction & Recent Optimization Case Studies

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Presentation transcript:

Optimization Direct Introduction & Recent Optimization Case Studies Business Analytics Informs Conference Austin, April 2019

Agenda Combining Machine Learning & Prescriptive Analytics with CPLEX 101 Alkis Vazacopoulos & Sumeet Parashar, Optimization Direct Build and deploy scalable CPLEX applications with DecisionBrain DBOS -- quickly, easily, and efficiently Filippo Focacci, DecisionBrain Solving Hard Mixed Integer programming problems with ODH|CPLEX Robert Ashford, Optimization Direct Leveraging python packages to improve model-building performance Joshua Woodruff, Optimized Financial Systems Demo Python CPLEX, Martin Shell

Technology Tutorial Optimization Direct Monday, April 15, 3:40-4:30pm, Room 305 A DOCplex and ODH|CPLEX python primer Presented by: Robert Ashford & Joshua Woodruff This short tutorial shows participants how to build a basic model using the DOCplex API in python. This session includes setting the python environment, reading data from a csv or spreadsheet, creating variables, objective functions, constraints, solving the model, and returning the results. Additionally this session points the participants to further reading so that they may expand their capabilities. Furthermore we will present the brand new ODH|CPLEX API for python, which improves solution times for large models.

Exhibit Hall Booth #17

Optimization Direct IBM Business Partner More than 30 years of experience in developing and selling Optimization software Sold to end users – Fortune 500 companies Train & Help our customers to get the maximum out of the IBM software

What software do we sell? IBM ILOG CPLEX Optimization Studio ODH|CPLEX DOCPLEXCloud (Cloud offering for CPLEX) Cplex is the leader in optimization technology Cplex can handle large scale problems and solve them very fast SPSS Modeler SPSS is the leader in Predictive Analytics Watson Studio

Which markets & new platforms Big DATA: Sparc & Hadoop & Python Linking optimization with Data science Projects (Predictive & Prescriptive) – Watson Studio Platform Travel, Hotel, Cruises Retail, Groceries, Clothing Energy, Renewables, Process Financial, Banking

Why IBM? Why Cplex? Fast (Very fast) & Reliable IBM software (Cloud an on Premise offerings) Large scale Optimization Gives you the ability to model develop and solve your decision problem (Modeling tools) Complete solution (Modeling & Solver)

ODH|CPLEX users GAMS AIMMS Workforce scheduling company Satellite Planning and Scheduling company Energy Company Telecommunications company Forestry Optimization You can Evaluate ODH|CPLEX Purchase ODH|CPLEX or Purchase ODH if you already have a CPLEX license

CPLEX on Private or Public Cloud ODH|CPLEX runs in the cloud and because it’s faster than many competitive optimizers, for many problems, you can make dramatic savings on your hosting and cloud costs. A manufacturing client using ODH|CPLEX saved 75% of his cloud costs versus a competitive solver. A customer developing a workforce application uses ODH|CPLEX and gains 90% cloud savings and still gets near optimal solutions.

To learn more I will email the PDF of this powerpoint today. Contact Alkis Vazacopoulos 201 256 7323 alkis@optimizationdirect.com www.optimizationdirect.com