16. AI by Industry

AI in Practice

Manufacturing

• Smart Factories — AI-powered IoT sensors monitor production lines, predict maintenance, and optimize energy usage
• Quality Control — Computer vision systems inspect products at high speed with greater accuracy than humans
• Robotic Assembly — AI-guided robots adapt to product variations without reprogramming
• Inventory Management — ML forecasts demand and optimizes stock levels

Banking & Finance

• Fraud Detection — Real-time transaction monitoring using anomaly detection models
• Credit Risk Assessment — ML models evaluate loan applications based on alternative data
• Algorithmic Trading — High-frequency trading systems execute trades based on market signals
• RegTech — AI automates compliance monitoring and regulatory reporting

Healthcare

• Radiology — AI assists radiologists by highlighting suspicious areas in scans
• Pathology — Digital pathology AI analyzes tissue samples for cancer cells
• Genomics — ML identifies genetic markers associated with diseases
• Hospital Operations — AI optimizes bed management, staff scheduling, and patient flow

Marketing & Advertising

• Customer Segmentation — ML clusters customers into groups for targeted campaigns
• Programmatic Advertising — Real-time bidding systems optimize ad placements
• Content Personalization — Dynamic content tailored to individual user preferences
• Sentiment Analysis — NLP monitors brand sentiment across social media

Automotive

• Autonomous Driving — Levels 1-5 of automation assisted by AI perception and planning
• Driver Monitoring — Cameras track driver attention and alertness
• Voice Assistants — In-car NLP for navigation, entertainment, and controls
• Manufacturing Quality — AI inspects paint, welds, and assembly

Data Analytics

AI augments traditional BI by automating insight discovery, identifying hidden patterns, and generating natural-language summaries of data. Tools like Tableau and Power BI incorporate AI features for automated analytics.