Management Perspective

• Delivery plan: phased milestones, weekly demos, risk register maintained.
• Team: DS, MLE, and DevOps collaboration; clear ownership and interfaces.
• Risks: data gaps, concept drift, deployment rollbacks; mitigation strategies.
• Outcomes: reliable forecasts feeding downstream optimization and reporting.

Delivery Plan

• Phase 1: data pipeline and baselines; Phase 2: LSTM and evaluation; Phase 3: serving and dashboards; Phase 4: pilot.
• Weekly demos, backlog grooming, and risk reviews; clear Definition of Done per milestone.

Risks & Mitigations

• Data Gaps: implement fallback features and imputation; SLA with data providers.
• Concept Drift: scheduled retraining and drift alarms trigger review windows.
• Deployment Rollbacks: blue/green or canary; versioned artifacts enable quick revert.

Stakeholders

• Operations (primary), planning (analysis), compliance (policy), and IT (platform).
• RACI: product owns roadmap; DS/MLE own modeling; DevOps owns reliability.

Outcomes

• Improved forecast accuracy and operational recommendations reduce curtailment and waste.
• Measurable KPIs: RMSE/MAPE, avoided curtailment, API uptime, user adoption.

Source: Final report insights Google Doc.

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