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Index
Introduction
1. The Converging World of Analytics
Challenges in Current Analytics Projects
From Business Intelligence to Augmented Analytics
The Role of Automation in the Future of Analytics at Scale
The AI App Revolution
Current AI App Development Challenges
The Impedance Mismatch Between AI and Existing Web Frameworks and Teams
Generic AI Apps
Noninteractive Experience
Scarce Development Resources
2. Modern AI Applications
The Anatomy of a Modern AI Application
Key Components of an AI Application Platform
Detailed Application Examples for Key Industries and Functions
Mortgage Lending (Financial Services AI Applications)
CPG Sales Forecasting with COVID-19 Data
Hospital Staffing Optimization (Healthcare Industry AI Apps)
Marketing Lead Optimization (Line of Business AI Applications)
Data Augmentation (AI Apps for Data Teams)
3. Case Studies: Real Impacts of AI Application in Business
ArmadaHealth
Challenges
Solution
Results
Hortifrut
Challenges
Solution
Results
Jewelers Mutual
Challenges
Solution
Results
4. Adoption Challenges for Next-Generation Analytics
Ineffective Data and AI Principles
Lax Security Practices
Inadequate Human Review
Downplaying Traditional Domain Expertise
AI Security and Privacy
Conclusion
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