AI Data Platform Innovation Service

What Is Oracle AI Data Platform? (2:09)

Oracle AI Data Platform Innovation Service helps organizations turn high-value AI ideas into production outcomes. Through a managed service, Oracle experts work with customer teams to design, build, govern, deploy, and operate solutions on AI Data Platform—reducing the need for specialized AI talent and providing expert support to help you manage the underlying technology.

Why Oracle AI Data Platform Innovation Service?

  • Achieve measurable business outcomes with AI

    Start with a defined business outcome and success measures, validate the opportunity, and move the solution into production rather than stopping at a proof of concept.

  • Work directly with Oracle experts

    Oracle Forward-Deployed Engineers work alongside customer teams to design, build, deploy, manage, and operate the solution for the selected business need.

  • Build on an enterprise AI platform

    Deliver the solution with AI Data Platform capabilities across data, semantics, analytics, AI, workflows, catalog, governance, and access control.

From a high-value idea to a production outcome

Innovation Service follows the use case from business definition through production operation. Customers retain authority over business outcomes, data, policies, approvals, and execution boundaries throughout the engagement. Here’s how it works.

  • Define the outcome

    Identify the business problem, the people and processes affected, the data required, and the measurable result the organization wants to achieve.

  • Prioritize and validate the use case

    Agree on success measures and test the opportunity through a focused pilot before committing to production operation.

  • Design and build the solution

    Oracle Forward-Deployed Engineers work with your team to combine the relevant AI Data Platform capabilities, enterprise data, business context, and workflows.

  • Deploy into production

    Move the validated solution into production with the testing, optimization, governance, security, and release controls required for operational use.

  • Operate, measure, and evolve

    Oracle manages and operates the solution, measures agreed outcomes, and can expand support as the use case becomes more complex or operationally important.

Explore AI Data Platform Innovation Service

AI Data Platform Innovation Service combines business alignment, engineering-led delivery, AI Data Platform capabilities, and managed production operations in a managed service. Oracle helps customers build, deploy, operate, and evolve solutions around their business needs.

Prove the business value

Business and use-case alignment

Define the business problem, prioritize the right use case, agree on success measures, and confirm ownership before the build begins.

Pilot and opportunity validation

Validate the use case with the required data and determine whether the expected value supports production deployment.

Design and build

Solution design with Oracle FDEs

Work with solution architects, engineers, Customer Success Services, and Forward-Deployed Engineers as appropriate to the engagement.

A complete data and AI foundation

Bring together the data, AI, analytics, workflow, AI and data catalog, governance, and access capabilities needed to deliver the solution.

Enterprise data and business context

Use trusted enterprise data together with shared business semantics, relationships, policies, and workflows so the solution reflects how the business operates.

Move validated solutions into production

Production deployment

Move beyond technical validation by deploying the working solution for its intended users and operational environment.

Testing and optimization

Test and refine the solution for reliability, performance, security, and the agreed business measures before and after release.

Operate with control

Managed production operation

Oracle deploys, manages, and operates the solution on the customer's behalf rather than handing over a one-time implementation.

Governance and operational oversight

Support production use with governance, monitoring, security, access control, and release management appropriate to the solution.

Support aligned to the use case

Align platform resources and operational support to the use case's complexity, dependencies, resiliency needs, and business importance.

A co-innovation model with clear responsibilities

Innovation Service combines customer business ownership with Oracle technology, engineering, and operating capacity. It does not remove your authority or turn the engagement into an autonomous operating model.

  • The customer brings

    • The business problem and target outcome
      Define the high-value need, the users and workflows involved, and the KPI or measurable result that matters.
    • Requirements, data, and access
      Provide the domain requirements and make the required enterprise data available through approved access paths.
    • Sponsorship and decision authority
      Align business and technical sponsors and retain authority over priorities, policies, approvals, and execution boundaries.

  • Oracle brings

    • AI Data Platform and cloud infrastructure
      Provide the governed data and AI platform capabilities and Oracle Cloud Infrastructure (OCI) required for the solution.
    • Engineering-led delivery
      Design and build with Oracle Forward-Deployed Engineers, using Success Blueprints and reusable patterns where relevant.
    • Production deployment and operation
      Deploy, manage, monitor, secure, maintain, and optimize the production solution on the customer's behalf.

Who is AI Data Platform Innovation Service for?

AI Data Platform Innovation Service is designed for organizations ready to turn a high-value AI opportunity into a production solution with Oracle expertise and ongoing operational support.

  • A clear business outcome

    A priority use case is connected to a measurable KPI, operational improvement, or business result.

  • Data and sponsorship to build on

    The required data is available or accessible, with business and technical sponsors aligned around ownership and success.

  • A desire to accelerate delivery

    Oracle expertise and engineering capacity can help your organization move from idea to production faster while complementing your internal teams.

  • A preference for managed production success

    The organization prefers that Oracle to help build, deploy, operate, and continuously improve the solution—not simply provide the underlying technology.

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