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Phase 5 — Deployment Governance & Fairness Oversight
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Apr 5, 2026
SS20 - How clustering logic supports investigations without labeled fraud data
Mar 2, 2026
SS19 - Threat Models, Isolation, and Why Your Model Is More Dangerous Than Your Database
Apr 15, 2026
SS21 - Translating technical dashboards and model exceptions into governance-friendly narratives
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Phase 5 — Governance, Fairness & Deployment Controls
Mar 1, 2026
WS18 - How Banks Actually Measure (and Fix) Discriminatory AI Without Drowning in Metrics
Phase 1 : Foundations of Enterprise AI Deployment
Nov 9, 2025
SS03 : Understanding semantic space behavior and what it means for enterprise search
Phase 3 — Model Lifecycle & Operational Reliability
Dec 25, 2025
WS08 - Manage identities, permissions, and credential lifecycle across pipelines
Phase 4 — Safe Retrieval, Guardrails & Internal AI Interfaces
Feb 1, 2026
SS15 -Balance search metrics with real exposure in financial operations
Phase 1 — Enterprise AI Deployment Toolkit
Nov 19, 2025
WS04:How to generate visual feature attributions that pass regulatory audit reviews
Jan 19, 2026
SS13 - Connect embedding pipelines to trustworthy search over internal knowledge
WS17 - The Documentation Checklist That Gets Models From "Ready" to Approved in Production
Feb 23, 2026
SS18 - Why 95% Accuracy Can Be Discriminatory and How to Measure Fair Lending
Feb 16, 2026
SS17 - Translating Model Performance Into Decisions That Get Approved
Phase 4 — Safe Internal AI Interfaces
WS16 - When Your Model Breaks in Production, Who Calls Who and What Do They Do?
