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Business and Management
Business Analytics and Technology
AI for Business
1. Introduction to AI for Business
2. Core AI Technologies and Concepts
3. Developing an AI Strategy
4. Data: The Foundation of Business AI
5. The AI Implementation Lifecycle
6. Functional Applications of AI Across the Enterprise
7. Building and Managing AI Teams
8. Measuring Business Impact of AI
9. Responsible AI: Ethics, Governance, and Risk
10. Future Trends and Sustaining Competitive Advantage
Data: The Foundation of Business AI
Data Strategy and Management
Data Sourcing and Acquisition
Internal Data Sources
External Data Providers
Data Partnership Strategies
Real-Time Data Streams
Data Storage Architecture
Data Warehouses
Structured Data Management
OLAP Systems
Data Lakes
Unstructured Data Storage
Schema-on-Read Approaches
Data Lakehouses
Hybrid Storage Solutions
Unified Analytics Platforms
Data Quality Management
Data Validation Frameworks
Missing Data Handling
Data Consistency Checks
Data Deduplication
Data Preparation and Feature Engineering
Data Transformation Pipelines
Feature Selection Methods
Feature Extraction Techniques
Data Labeling Strategies
Data Governance
Data Policy and Standards
Data Ownership Models
Data Stewardship Roles
Data Lifecycle Management
Data Security and Privacy
Data Encryption Methods
Access Control Systems
Data Anonymization
Privacy-Preserving Techniques
Regulatory Compliance
GDPR Compliance
Industry-Specific Regulations
Cross-Border Data Transfer
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3. Developing an AI Strategy
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5. The AI Implementation Lifecycle