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IBM · IBM AI Optimizer for z/OS → Dataiku · Migration

Trusted IBM AI Optimizer to Dataiku Migrations – Fixed Scope

Yes, you can migrate IBM AI Optimizer for z/OS to Dataiku. We replatform mainframe-restricted models, handle VSAM extraction and Watson API calls, and keep your legacy vendor support active.

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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 Dataiku, automated where it's safe
Parity validation
Side-by-side testing proves Dataiku matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
5–8 months with 2–4
Project Timeline
$120K–$900K, no hidd
Fixed Scope Budget
40–70% vs vendor ren
Legacy Support Savings

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

  • Senior engineers run your migration end-to-end
  • Fixed scope – no budget surprises or extensions
  • Legacy IBM AI Optimizer upkeep included during project
  • Democratize ML model development across teams
  • End mainframe MIPS consumption and costly runtime fees
  • 40–70% savings on legacy support while you transition

Isolated mainframe development silos

Your data science team is siloed on the mainframe, unable to collaborate with modern ML tools. Every model update burns expensive MIPS – and your budget team is demanding cuts.

Unacceptable latency and upgrade delays

Software upgrade cycles on the mainframe take months, blocking new features. Meanwhile, latency from batch processing makes real-time scoring impossible.

Cost pressure on mainframe AI runtimes

Third-party analytical runtimes on the mainframe are a top cost target. You need to move to Dataiku to reduce spend and open up ML access to more teams.

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

How do you handle IBM AI Optimizer’s VSAM database extraction logic?+

We extract models from VSAM databases using secure, audited procedures that respect mainframe security paradigms. Our engineers have deep z/OS data access experience.

What about legacy IBM z/OS Watson Machine Learning API calls?+

We rewrite legacy Watson Machine Learning call logic into Dataiku DSS-compatible APIs. The migration is handled within the fixed-scope project timeline.

Can you work under our mainframe’s restrictive data extraction security?+

Our team works within your mainframe’s existing security controls. No new vulnerabilities – we use your approved extraction methods.

Will I lose support during the migration project?+

As long as your vendor contract is active, IBM support stays in place. If it lapses, our third-party support covers most operational issues while you finish the migration.

Start Your IBM AI Optimizer to Dataiku Migration

After migration, we keep Dataiku DSS running smoothly with platform upkeep, pipeline tuning, and custom plugins for hybrid mainframe connectivity. Let’s plan your move.

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