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Capability model
Trainings
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Webinars
Community
Who We Are
BTS AI Assistant
BT Academy

Home • Data and AI

6.0 Data and AI

Introduction to Data and AI
Data Ownership and Governance
Data Architecture, Design and Standards
Data Flows and Access Management
AI Product Governance and Management
Data Lifecycle Management and Quality Assurance

Continual Improvement and Retirement Introduction to Data and AI

Value Creation Model Capability Model Roles and Responsibilities Mindset model

Demand

Strategy and Governance

Strategic Planning

Enterprise Architecture

Objectives, Governance and Steering

Operating model and management tools

Competence, Roles and Organisation

Risks, Quality, Compliance and Ethics

Security and Data Protection

Service Governance

Service Planning

Service Portfolio

Ecosystem Development and Intellectual Property Rights

Sourcing, Purchasing and Contracts

Supplier Relationship and Performance Management

Financial Planning and Control

Resource and Asset Management

Development

Innovations and Concepts

Development Portfolio

Requirements and Feasibility

Prioritisation, Commitment and Backlog

Design, Development and Validation

Rollout and Training

Business Value Realisation

Service Delivery

Business Continuity

Service Catalogue

Service Integration and Quality Assurance

Service Release and Operational Readiness

Service Operation and Automation

Support and Service to Users

Continual Improvement and Retirement

Data and AI

Data and AI Strategy

Data Domains and Assets

Data Ownership and Governance

Data Architecture, Design and Standards

Data Flows and Access Management

AI Product Governance and Management

Data Lifecycle Management and Quality Assurance

BTS and Other Established Frameworks
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