Your Trusted Path for IBM AI Optimizer to Azure ML Migration
We migrate IBM AI Optimizer for z/OS to Azure Machine Learning via fixed-scope projects. Senior engineers manage Db2, RACF, and compliance while your legacy environment stays under support.
The lowest-cost way off IBM AI Optimizer for z/OS: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.
How we support IBM AI Optimizer for z/OS → Azure Machine Learning after migration
- ✓Fixed-scope migration by senior platform engineers
- ✓Your legacy AI Optimizer stays under vendor support
- ✓Save 40-70% on legacy support renewals
- ✓24/7 US-based post-migration Azure ML support
- ✓Concurrent pipeline build eliminates project gaps
- ✓Proven Db2 and RACF integration process
Cloud mandate pressure
Enterprise cloud mandates favoring Microsoft Azure force a move off mainframe AI, but you lack Azure ML migration expertise.
IBM ELA renegotiation risk
Impending IBM Enterprise License Agreement renegotiations make legacy support costs unpredictable and could trigger budget crises.
Mainframe ML skills gap
Your legacy mainframe team cannot support modern ML frameworks, creating a skill gap that delays innovation and increases operational risk.
IBM AI Optimizer for z/OS → Azure Machine Learning migration — your questions answered
How do you handle Db2 for z/OS stored procedure integrations?+
We assess your existing Db2 stored procedures and rebuild them as Azure ML pipelines or SQL Server equivalents, ensuring functional parity and data lineage.
What about RACF security credential mapping to Azure AD?+
During migration, we map RACF user identities to Azure Active Directory (Entra ID) roles and configure credential vaults. No security gaps occur.
Can I keep IBM support while migrating?+
Yes, as long as your IBM vendor contract is active. If it lapses, our third-party support covers most operational issues on the legacy platform while you complete the move.
How does this help with regulatory requirements on data residency?+
We deploy Azure ML in your chosen regions and configure policies for data residency and encryption. Our team has experience with financial services regulatory frameworks.
Your IBM AI Optimizer to Azure ML Migration Starts Here
Concurrently support your existing AI Optimizer environment while building the Azure pipeline. Our managed services include Azure ML model monitoring, automated retraining pipelines, and integration with Azure Sentinel for audit logging.