What is IBM Decision Optimization?
Harness the power of optimization modeling and cutting-edge solvers to make impactful business decisions. IBM Decision Optimization, a suite of prescriptive analytics products, combines mathematical and AI techniques to tackle a wide range of operational, tactical, and strategic planning and scheduling challenges. Leveraging the robust CPLEX Optimizer and CP Optimizer engines, these solutions empower decision-makers to navigate complex scenarios, weigh multiple variables and trade-offs, and uncover the optimal course of action from millions of alternatives
Highlights
- Flexible development environment: Utilize general programming language APIs like Python and Java, or the Optimization Programming Language (OPL), to build optimization models tailored to your unique business needs
- Powerful optimization engines: Solve large-scale, real-world optimization problems at the speed required for interactive decision optimization applications
- Integrated within Watson Studio Premium for Cloud Pak for Data: Enable data science teams to harness the synergy of machine learning and optimization, quickly build models, test scenarios, and deploy solutions
- Proven track record: Backed by over 30 years of experience in the field, IBM Decision Optimization solutions have helped organizations across industries drive operational efficiency, boost revenue, and accelerate time to value.