IBM Decision Optimization represents a family of optimization software that delivers prescriptive analytics capabilities to enable organizations to make better decisions and achieve business goals.
The IBM Decision Optimization product family includes offerings like IBM ILOG® CPLEX® Optimization Studio that provide powerful modeling tools to build optimization models, either using general programming language APIs or Optimization Programming Language (OPL). Solve the breadth of optimization models using optimization solvers.
IBM Decision Optimization is an integral part of IBM Watson® Studio, so users can benefit from all data-science features of Watson Studio like access to machine-learning models, the ability to pass output from predictive analytics to the IBM Decision Optimization engine, access to open notebook features, visualization features and data connectivity options from Watson Studio.
How would you feel about your business performance if you could improve your bottom line by double digits and significantly reduce your planning time? Learn how IBM's machine learning and decision optimization technologies can be combined for innovative approaches to solving complex business problems.
Rapid building of optimization models, using your preferred language
Build models for scheduling use cases, using innovative features like natural language processing. Create optimization models, either by using general programming language APIs like Python and Java™ or the optimization-specific OPL.
Build, deploy and use optimization-based decision-making applications for the enterprise. The offering includes data analysis and visualization, scenario management, collaborative planning and what-if analysis.
IBM Cloud Pak for Data is a flexible multicloud data platform that can integrate all your data — on premises or from any cloud, while keeping it secure at its source. Simplify and automate how you collect, organize, analyze and govern data to rapidly innovate your business with AI.