Description for IBM Decision Optimization
IBM Decision Optimization is a comprehensive software suite offering prescriptive analytics capabilities to enhance business outcomes and decision-making processes. It operates on IBM Cloud Pak for Data, providing flexibility in deployment through a containerized data and AI platform.
Features of IBM Decision Optimization:
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IBM ILOG CPLEX Optimization Studio: Accelerates optimization modeling with an integrated development environment, robust optimization solvers, and support for various optimization modeling approaches.
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IBM Decision Optimization for IBM Watson Studio: Combines machine learning and optimization in a unified environment, enabling AI-infused optimization modeling.
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IBM Decision Optimization Center: Facilitates the creation and deployment of end-to-end decision support applications with a GUI, collaboration tools, 'what-if' analysis, application data model support, and flexible deployment architecture.
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IBM CPLEX Optimizer for IBM z/OS: Uses the IBM CPLEX Optimizer engine on IBM z/OS to solve mathematical programming models, including MIP/MIQCP, with the C and C++ API for modeling.
Pricing for IBM Decision Optimization
Use Cases for IBM Decision Optimization
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Financial: Simplifies complex decisions to deliver precise and timely financial services.
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Travel and Transportation: Enhances preparation for unforeseen circumstances, reduces journey duration, and improves customer experience by optimizing routes.
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Manufacturing: Optimizes outcomes and reduces uncertainty in constantly changing production conditions.
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Retail: Optimizes retail operations for better efficiency and performance.
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Healthcare: Uses prescriptive methodologies to evaluate millions of hypothetical scenarios, assessing their potential impact.
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Energy and Utilities: Enhances resource planning and scheduling, minimizes penalties, and promotes superior business outcomes through smart grid utilization.
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