AI Governance
Unification of Corporate, Data, Records and AI Governance Training Course
Course Duration: 5 Days
This course is for all Data Professionals
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The AI Governance: Unification of Corporate, Data and Records Governance Training Course is a multi-day, hands-on training program focused on integrating governance across data, records, and AI systems. The course emphasises operationalisation, risk management, compliance, and practical implementation using real-world case studies and frameworks.
Course Outline
Day 1: Governance Functions
Governance Trends: From Command & Control to AI Governance
Unification: Governing Data, Records & AI
AI Concepts: Types of AI and Governance Models
Case Study 1: Insurance Claims Automation – Readiness Assessment
Case Study 2: Govern-By-Wire – Readiness Assessment
Day 2: Frameworks & Enablement
Governance Frameworks: Corporate, IT, Records, and Data
AI Governance: Risk Management and Responsible AI
Maturity Models: DCAM, Gartner, and TDWI
Case Study Enablement: Framework Mapping and Ramifications
Day 3: Operationalisation
Operational Procedures (OPs): Driving Action
Artefacts & Scorecards: SIPOC and Templates
Case Study Execution: OPs and Scorecards for both use cases
Day 4: Compliance & Monitoring
Compliance Frameworks: Corporate, IT, Records, and Data
Evidence & Risk Management
Maturity Assessments
Case Study Monitoring: Product Monitoring and Value Recognition
Day 5: Scaling & Sustainability
Overcoming Challenges: Change Management
Sustainability: Risk Management
Scalability: Stewardship
Unified Governance: Embedding into Business-as-Usual
Continuous Improvement & Knowledge Management
Key Benefits of attending the Unification of Corporate, Data, Records and AI Governance Training
Action over abstraction: focus on doing
Incremental compliance: build maturity one OP at a time
Artefacts = evidence + knowledge
Scorecards build trust and support coaching
Customisation is key: tailor governance to context
Who should attend?
All Data Professionals
