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IBM · IBM AI Optimizer for z/OS → Amazon SageMaker · Migration

Trust our proven IBM AI Optimizer to SageMaker migration expertise.

Yes, migrating IBM AI Optimizer for z/OS to Amazon SageMaker is a well-understood project. Our senior engineers execute a fixed-scope, phase-gated move—slash MIPS costs and gain cloud-native scale without operational

Get My Free AssessmentIncludes detailed cost comparison and migration roadmap.

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Includes detailed cost comparison and migration roadmap.

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Powered by the 3PS Migration Engine

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.

Automated discovery
Your IBM AI Optimizer for z/OS estate mapped — workloads, dependencies, licensing — before day one
Conversion tooling
Schema, config and workload translation to Amazon SageMaker, automated where it's safe
Parity validation
Side-by-side testing proves Amazon SageMaker matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
40–70%
Savings on legacy support
6–12 months, 4-6 sen
Project duration & team
$200K–$1.5M fixed-sc
Budget range

How we support IBM AI Optimizer for z/OS → Amazon SageMaker after migration

  • Fixed-scope projects with senior platform engineers.
  • Vendor support stays active on legacy z/OS.
  • Third-party support covers issues if renewal lapses.
  • 40-70% savings on legacy support while migrating.
  • 24/7 US-based support throughout the move.

Out-of-Control Mainframe AI Costs

Soaring MIPS utilization and IBM MLC pricing are bleeding your AI operations budget—every model inference on z/OS costs more than the cloud alternative.

Impending Mainframe Refresh Pressure

Mainframe hardware refresh cycles (z15/z16) force a fork-lift decision: pay millions for new iron or finally transition your AI workload to AWS.

z/OS AI Skill Bottlenecks

Your team lacks open-source ML skills for z/OS—proprietary WMLz APIs lock you into a shrinking talent pool and slow innovation.

IBM AI Optimizer for z/OS → Amazon SageMaker migration — your questions answered

How do you handle CICS/IMS transaction attachments during migration?+

Yes—we handle CICS/IMS transaction attachments by reconfiguring the data flow to AWS Lambda or Amazon MQ without breaking existing mainframe transaction logging.

What about EBCDIC to ASCII data conversion?+

Our automated conversion scripts transform EBCDIC mainframe files to ASCII on AWS, preserving data integrity and field mappings with zero manual rework.

Can you meet our ultra-low latency SLAs?+

We design the SageMaker inference pipeline with auto-scaling and VPC endpoints to meet sub-10ms response times, backed by latency SLAs in the migration contract.

What if our vendor support renewal expires during the migration?+

If your renewal lapses mid-project, our independent third-party support covers most operational issues on AI Optimizer for z/OS, so you avoid a full renewal while completing the move.

Free Mainframe AI to AWS TCO & Latency Assessment

Get your free IBM AI Optimizer to SageMaker TCO and latency assessment. Our senior team maps your z/OS AI workload, quantifies savings, and outlines a fixed-scope migration plan—no obligation.

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