Decision Optimization for Data Science Experience provides all the planning and scheduling libraries and tools that are missing from Data Science platforms. It allows: 

  • Data Scientists to take the insights generated from their Machine Learning models and feed them into an optimization egnine that can recommend the next best action based on those insights. 
  • Application Developers to take planning and scheduling models, deploy them as REST API endpoints and embed them in existing or new line of business applications.

Deliver Business Results by Combining Optimization and Machine Learning

5 minute demo

In this video you can explore the benefits and use cases of combining machine learning techniques with decision optimization to deliver business results.

Deliver Optimal Business Decisions with IBM Data Science Experience

4 minute demo

While machine learning models can help businesses accurately predict what will happen next, businesses need tools that can prescribe the best course of actions based on those predictions. IBM Decision Optimization for Data Science Experience provides the capabilities to combine optimization techniques with other data science capabilities to help deliver business impact.

IBM Decision Optimization in Action on Data Science Experience

8 minute demo

IBM® Decision Optimization for Data Science Experience 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. This video will demonstrate the capabilities of this offering.

Introduction to Decision Optimization for Data Science Experience

9 minute demo

We discuss the value and capabilities of Decision Optimization for Data Science Experience and walkthrough a typical data science application and how it uses machine learning as well as optimization models. We then go behind the scenes to see how a data scientists can easily combine both of these approaches in Data Science Experience and develop and deploy models that can then be used by line of business applications.

Product Tour of IBM Decision Optimization for Data Science Experience (DO for DSX)

Want to see for yourself? Take a short test drive of IBM Decision Optimization for Data Science Experience (DO for DSX) to introduce you to the product. You'll be able to:

  • Create an optimization project and load a data set

  • Start to develop an optimization model and prepare the data set

  • Finish the development of the optimization model by using the modeling assistant

  • Solve the optimization model and review the results

  • Create a dashboard for the results

  • Experiment with different scenarios

  • Prepare the model for deployment

5-15 minutes introduction