ESG analyst tests IBM Decision Optimization for Watson Studio

What the solution can do for your business

IBM Decision Optimization for Watson Studio enables data science teams to capitalize on the power of prescriptive analytics and build solutions using a combination of techniques like machine learning and optimization. 

It can be purchased separately as part of IBM Watson Studio Premium for IBM Cloud Pak for Data, which supports multicloud environments. It is also available on IBM Cloud®.

The solution enables better decision-making by providing tools like the modeling assistant and visual dashboards to accelerate model building, optimization engines to quickly solve models, and what-if analysis tools to evaluate multiple scenarios.

Decision Optimization for Watson Studio benefits

Drive operational efficiency

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The solution combines mathematical and artificial intelligence techniques to help make important business decisions that involve multiple decision variables, trade-off possibilities and complex constraints. Integration with IBM Watson® Studio lets you combine optimization and machine learning techniques with model management and deployment capabilities. It helps optimize complex business decisions to help generate significant returns on investments across a wide range of industries.

Easily deploy models on IBM Watson Machine Learning

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Data science teams can quickly build and evaluate optimization models in a unified, collaborative environment. The solution can also help configure and evaluate proof-of-concept applications quickly and scale them to production easily by deploying the models within IBM Watson Machine Learning.

Solve a wide range of decision-making problems

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IBM Decision Optimization solutions incorporate highly powerful mathematical programming and constraint programming engines to address all classes of business problems across domains. Take advantage of IBM® CPLEX® solvers, which many organizations use to run their mission-critical decision-making applications. IBM CPLEX solvers can help solve large, real-world optimization problems with the speed required for today's interactive decision optimization applications.

Simplify the process of creating optimization models

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Benefit from using the modeling assistant to guide you during the creation of optimization models around scheduling and resource assignment. The modeling assistant uses natural language interactions to define goals and constraints for the model with no coding required. It starts with data input and analyzes the appropriate constraints for the problem that you are trying to address.

Easily operationalize your projects

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IBM Watson Studio offers data scientists a complete set of tools drawn from open source and IBM technologies. It gives data science teams access to peer communities and offers scalability and greater security — making the solution highly adaptable to a broad range of applications. Integration of optimization capabilities within IBM Watson Studio allows teams to quickly scale their proof-of-concept applications and deploy optimization models into production.

Work smarter and faster as a team

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Easily create optimization models by coding in Python or using the modeling assistant. Share graphical dashboards with business analysts to validate the benefits of the models. Use powerful visualization features to test multiple scenarios. Deploy the validated model and optimization engine as a microservice, which business users can then access from their applications.