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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
Functional Applications of AI Across the Enterprise
AI in Marketing and Sales
Customer Analytics
Customer Segmentation
Lifetime Value Prediction
Behavioral Analysis
Personalization and Recommendations
Product Recommendation Engines
Content Personalization
Dynamic Website Optimization
Sales Optimization
Lead Scoring and Qualification
Sales Forecasting
Territory Management
Customer Retention
Churn Prediction
Retention Campaign Optimization
Customer Health Scoring
Pricing and Revenue Optimization
Dynamic Pricing Models
Price Elasticity Analysis
Revenue Management
Marketing Campaign Management
Campaign Performance Optimization
Attribution Modeling
Media Mix Optimization
Social Media and Digital Marketing
Social Listening
Influencer Identification
Content Performance Analysis
AI in Finance and Accounting
Trading and Investment
Algorithmic Trading
Portfolio Optimization
Risk Management
Risk Assessment and Management
Credit Risk Modeling
Fraud Detection
Anti-Money Laundering
Financial Process Automation
Invoice Processing
Expense Management
Financial Reporting
Regulatory Compliance
Compliance Monitoring
Regulatory Reporting
Audit Trail Management
AI in Operations and Supply Chain
Demand Planning and Forecasting
Sales Forecasting
Inventory Optimization
Capacity Planning
Supply Chain Optimization
Supplier Selection
Logistics Optimization
Route Planning
Manufacturing and Production
Predictive Maintenance
Quality Control
Production Scheduling
Risk Management
Supplier Risk Assessment
Supply Chain Disruption Prediction
Contingency Planning
AI in Human Resources
Talent Acquisition
Resume Screening
Candidate Matching
Interview Scheduling
Employee Management
Performance Prediction
Turnover Risk Assessment
Compensation Analysis
Learning and Development
Personalized Training Paths
Skill Gap Analysis
Career Path Recommendations
Workforce Planning
Demand Forecasting
Succession Planning
Resource Allocation
AI in Customer Service
Automated Customer Support
Intelligent Chatbots
Virtual Assistants
Automated Ticket Routing
Customer Experience Enhancement
Sentiment Analysis
Proactive Support
Self-Service Optimization
Service Quality Management
Agent Performance Analysis
Customer Satisfaction Prediction
Service Level Optimization
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5. The AI Implementation Lifecycle
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7. Building and Managing AI Teams