What's new and changed in Decision Optimization

Decision Optimization updates can include new features, bug fixes, and security updates. Updates are listed in reverse chronological order so that the latest release is at the beginning of the topic.

You can see a list of the new features for the platform and all of the services at What's new in Cloud Pak for Data.

Installing or upgrading Decision Optimization

Ready to install or upgrade Decision Optimization?

Related documentation:

Cloud Pak for Data Version 4.6.5

A new version of Decision Optimization was released in April 2023 with Cloud Pak for Data 4.6.5.

Operand version: 6.5.0

This release includes the following changes:

Security fixes

This release includes fixes for the following security issues:

CVE-2023-26487, CVE-2023-26486, CVE-2023-25000, CVE-2023-24999, CVE-2023-24537, CVE-2023-23916, CVE-2023-0767, CVE-2023-0665, CVE-2023-0620, CVE-2023-0361, CVE-2023-0215,

CVE-2022-4450, CVE-2022-4304, CVE-2022-41881, CVE-2022-24999, CVE-2022-0235

See https://exchange.xforce.ibmcloud.com/ for details.

Cloud Pak for Data Version 4.6.4

A new version of Decision Optimization was released in March 2023 with Cloud Pak for Data 4.6.4.

Operand version: 6.4.0

This release includes the following changes:

New features

The 6.4.0 release of Decision Optimization includes the following features and updates:

Deprecation notice for Python 3.9
Python 3.9 is deprecated and will be removed in an upcoming refresh.

Start using Python 3.10 for building and deploying Decision Optimization models. You can change your Python version for existing deployed models by using the REST API.

Security fixes

This release includes fixes for the following security issues:

CVE-2022-48303, CVE-2022-47629, CVE-2022-45061, CVE-2022-4415, CVE-2022-41915, CVE-2022-40897, CVE-2022-36087, CVE-2022-23491

CVE-2021-28861

CVE-2020-10735

See https://exchange.xforce.ibmcloud.com/ for details.

Cloud Pak for Data Version 4.6.3

A new version of Decision Optimization was released in February 2023 with Cloud Pak for Data 4.6.3.

Operand version: 6.3.0

This release includes the following changes:

Security fixes

This release includes fixes for the following security issues:

CVE-2022-46175, CVE-2022-43680, CVE-2022-43548, CVE-2022-42012, CVE-2022-42011, CVE-2022-42010, CVE-2022-41881, CVE-2022-41717, CVE-2022-41716, CVE-2022-40897, CVE-2022-40304, CVE-2022-40303, CVE-2022-3821, CVE-2022-35737, CVE-2022-3517, CVE-2022-23541, CVE-2022-23540, CVE-2022-23539

CVE-2021-46848, CVE-2021-44906

See https://exchange.xforce.ibmcloud.com/ for details.

Cloud Pak for Data Version 4.6.1

A new version of Decision Optimization was released in December 2022 with Cloud Pak for Data 4.6.1.

Operand version: 6.1.0

This release includes the following changes:

Security fixes

This release includes fixes for the following security issues:

CVE-2022-42898, CVE-2022-41940, CVE-2022-41715, CVE-2022-38900, CVE-2022-37603, CVE-2022-37601, CVE-2022-37599, CVE-2022-32190, CVE-2022-32189, CVE-2022-2880, CVE-2022-2879, CVE-2022-27664, CVE-2022-27406, CVE-2022-27405, CVE-2022-27404, CVE-2022-1304

CVE-2016-3709

CVE-2015-3627, CVE-2015-20107

See https://exchange.xforce.ibmcloud.com/ for details.

Cloud Pak for Data Version 4.6.0

A new version of Decision Optimization was released in November 2022 with Cloud Pak for Data 4.6.0.

Operand version: 6.0.0

This release includes the following changes:

New features

The 6.0.0 release of Decision Optimization includes the following features and updates:

Change data types in tables in Decision Optimization experiments
You now have the flexibility to change the data types (number or string) of table columns in the Prepare data view of your Decision Optimization experiment. These types are used when you save your scenario as a model for deployment.
Screen shot of the Prepare data view

For details, see Prepare data view.

New Python extensions
You can now add Python extensions to your Decision Optimization experiment environments so that you can include additional Python libraries.
Screen shot of the interface for adding Python extensions.

For details, see Configuring Environments and adding Python extensions

Python 3.10 now supported
Python 3.10 is now supported in Decision Optimization experiments in Watson™ Studio and for deployment in Watson Machine Learning. The default version remains Python 3.9.

For details, see Configuring Environments and Model deployment.

For DOcplex notebooks the new Runtime 22.2 with Python 3.10 and CPLEX 22.1 is now available.

Security fixes

This release includes fixes for the following security issues:

CVE-2022-42889, CVE-2022-42004, CVE-2022-42003, CVE-2022-40674, CVE-2022-39353, CVE-2022-37616, CVE-2022-37434, CVE-2022-36087, CVE-2022-3515, CVE-2022-34903, CVE-2022-32213, CVE-2022-32212, CVE-2022-3171, CVE-2022-2509, CVE-2022-0391,

CVE-2021-29469,

CVE-2020-35527, CVE-2020-35525,

See https://exchange.xforce.ibmcloud.com/ for details.