AI Use Cases
Jr. William A. Yarberry, Wesley Ladd · 2026
This chapter provides hands-on AI implementation examples across personal, corporate, and scientific domains. Beginning with practical personal applications (credit card expense analysis, document processing), this chapter emphasizes experiential learning to build AI proficiency. Corporate case studies demonstrate enterprise-scale deployment: JP Morgan’s COIN system processing 360,000 hours of legal document review in seconds, Google’s AI weather forecasting surpassing traditional physics-based models for 15-day predictions, and Mayo Clinic’s clinical decision support systems. This chapter explores emerging autonomous research laboratories (Lila Sciences) that conduct experiments and analyze results without human intervention. Technical coverage includes edge computing and AI hardware evolution, from cloud-dependent systems to on-device processing using specialized chips like Hailo-8 and Nvidia’s Blackwell B200. Readers learn meta-prompting techniques for optimizing AI interactions and practical data handling strategies. This chapter serves both immediate practitioners seeking actionable use cases and strategic planners evaluating AI adoption across organizational functions. Key topics: expense analytics, natural language processing, predictive modeling, autonomous research systems, edge computing, AI chip architecture, and prompt engineering.