IBM Optim

Reach, trust and govern data across its lifecycle for AI at scale

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Overview

Turn enterprise data into trusted, AI-ready assets

IBM Optim™ manages the full life of enterprise data, helping organizations provision, protect, archive and govern data wherever it resides. By turning data you store into data you can use, it creates trusted data assets that unlock AI value, optimize storage costs and ensure regulatory compliance.

 

 

Features

Trusted data at scale

Create secure, targeted, production-like datasets that preserve business context and referential integrity for testing and AI/ML training. Provision trusted, compliant data as business objects across hybrid environments without cloning production systems or exposing sensitive information.

Protect sensitive information with consistent, context-aware, policy-driven masking that preserves data formats, business logic and referential integrity to maintain usability. Enable secure data usage without manual redaction, while supporting automated compliance with GDPR, HIPAA, SOX and other data regulation.

Archive inactive data in open Iceberg formats while making historical records accessible for audits, AI and analytics. Query archived data where it resides, without restoration, format conversion or data movement, to securely unlock value from historical information.

Manage archived data throughout its lifecycle with policy-driven retention and compliant disposal. Enforce auditable controls and consistent governance through a single policy engine across hybrid environments, reducing operational complexity and compliance risk.

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See how IBM Optim works

Use cases

Manage, protect, and unlock data value

Secure AI training and model development

Provision and mask production-like data for AI/ML training while preserving business context, statistical integrity and referential relationships. Enable faster model development with compliant, audit-ready datasets that protect sensitive information by design.

Provision test environments at speed

Enable faster test cycles through automated provisioning of reusable, rightsized datasets across non-production environments. Provide secure, application-aware data across DevOps and CI/CD pipelines to support continuous delivery and reduce data exposure risk.

Data archiving and retention

Archive transactional data at the business-object level across distributed and mainframe systems to reduce data footprint and storage costs. Maintain secure, on-demand access to historical records to unlock business insight.

Legacy application retirement

Preserve application data with full business context, lineage and auditability. Decommission legacy applications while providing long-term, governed access to information for operational reporting and regulatory compliance.

Take the next step

Schedule a one-on-one consultation with experts to build winning data, analytics and AI strategies.