AI Implementation Lifecycle for IPS
Introducing AI into IPS requires a structured approach covering operational needs, data readiness, governance, and long-term lifecycle management.
The IPS AI Implementation Lifecycle
The lifecycle provides a structured way to think about how AI capabilities may be introduced, from opportunity identification through to deployment and ongoing oversight.
- 1Opportunity Identification
- 2Use Case Definition
- 3Data Readiness
- 4Model Development
- 5Verification and Validation
- 6Deployment
- 7Monitoring
- 8Lifecycle Governance
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