You know your business. You know which processes need to move faster, which decisions need better information, and where AI could help. The challenge is getting AI to work with that understanding and deliver results.
That takes engineering, integration, and ongoing attention. Oracle AI Data Platform Innovation Service provides the technology, engineering expertise, and ongoing operations to address that work, from solution design through production.
The service relies on Oracle AI Data Platform to connect enterprise data and give AI the business definitions, relationships, and rules it needs to interpret that data correctly.
How do we put that to work? Your teams contribute their business knowledge, requirements, and desired outcomes. Oracle’s Forward Deployed Engineers and specialists use that input to design, build, and operate the solution.
Start with the business opportunity
The business problem will look different in every organization. Innovation Service supports a wide range of use cases across industries, but let’s make it concrete with a retail example.
How do you reduce stockouts without piling up excess inventory? The planners know a promotion is coming, a supplier is running late, and some stock is already promised to customers. An AI recommendation needs to account for all of that.
With Innovation Service, the retailer’s business and technology teams work with Oracle to define the outcome, establish a baseline, and agree on how to measure improvement. They identify the relevant data and explain the promotion plans and replenishment rules.
Oracle develops a prototype, using working code and a workflow in a secure sandbox to test the approach. The pilot builds on that work. Oracle develops the solution further and validates it with the customer against agreed business, technical, and operational criteria.
The test is practical: do the forecasts and recommendations improve inventory decisions within the retailer’s business rules? The results guide the decision to proceed to production.
Co-innovate with Oracle’s Forward Deployed Engineers
This is where Oracle’s Forward Deployed Engineers come in. They work alongside your business experts to design and build the solution, combining Oracle’s expertise in enterprise systems with your teams’ knowledge of business workflows, data, and constraints.
For the retailer, that means agreeing on what counts as available inventory, identifying which data sources to trust, and deciding when a recommendation needs human approval. The engineers use AI Data Platform and OCI to implement and test those requirements.
FDEs also work with your teams to build a System of Context. They use AI in Oracle AI Data Platform to discover patterns and develop enterprise ontologies: the business definitions and relationships AI needs to understand your data. AI-assisted ontology creation can shorten that work.
Your teams validate that the solution reflects your workflows and constraints. Oracle takes responsibility for the engineering and carries the work through deployment and ongoing operations. That continuity reduces handoffs.
Build on trusted data and shared business context
Why start from scratch with every AI project? The business knowledge captured for one solution should give the next project a head start.
That’s the idea behind a System of Context: a shared understanding of the business based on agreed data definitions and access controls that people, AI, and applications can use and build on. Oracle AI Data Platform provides the technology foundation. Through Innovation Service, Oracle applies that foundation to your business opportunity.
As Oracle builds the solution, your teams define what the data means, which business rules and analytical methods apply, and when human review is needed.
For our retailer, sales, stock, and supplier information will keep changing. But teams should be able to reuse agreed definitions of available inventory and replenishment rules across additional workflows, updating them as the business changes.
AI Data Platform connects the Oracle and non-Oracle data needed for the solution. Existing business systems continue to manage transactions and commitments.
Keep delivering value as the business changes
The real test comes when people rely on the solution in their daily work.
- Are planners making better inventory decisions?
- Can they understand and challenge its recommendations?
- Does it continue to deliver value when suppliers, policies, or priorities change?
That’s why the work continues after deployment. Oracle manages and operates the solution, with service levels aligned to the use case’s complexity and operational needs. Together, we use the agreed measures of success to assess results, guide improvements, and decide where to extend the solution. We also work with your teams to keep business context current.
Start with a business problem worth solving and agree on how you’ll measure success. For our retailer, that means fewer stockouts without excess inventory. For your business, the measures will differ. Innovation Service provides the technology, engineering expertise, and ongoing operations to pursue those outcomes and keep improving as your needs change.
Learn more about Oracle AI Data Platform Innovation Service.