Real-World AI Applications
Computer vision, NLP, recommendation systems, autonomous systems
AI applications span virtually every industry and domain — from healthcare diagnosis to financial fraud detection, content recommendation to autonomous vehicles. Understanding these domains helps you frame AI as a tool for solving concrete business problems.
Key Points
- Computer Vision: image classification, object detection, facial recognition, medical imaging
- Natural Language Processing: translation, summarisation, sentiment analysis, chatbots
- Recommendation Systems: Netflix, Spotify, Amazon product recommendations
- Autonomous Systems: self-driving cars, drone navigation, robotics
- Healthcare: cancer detection in radiology, drug discovery, clinical decision support
- Finance: fraud detection, algorithmic trading, credit scoring, risk assessment
- Manufacturing: predictive maintenance, quality inspection, supply chain optimisation
- Cybersecurity: anomaly detection, threat intelligence, malware classification
| Domain | AI Application | Technique Used |
|---|---|---|
| Healthcare | Tumour detection in scans | Convolutional Neural Networks |
| Finance | Credit card fraud detection | Gradient Boosting, Anomaly Detection |
| Retail | Product recommendations | Collaborative Filtering, Deep Learning |
| Transport | Self-driving vehicles | Computer Vision, Reinforcement Learning |
| NLP | Real-time translation | Transformer models (e.g., NLLB-200) |
Real-World Example
Google's DeepMind AlphaFold predicted the 3D structure of virtually every known protein (~200 million structures) — a problem that had stumped biologists for 50 years. This single AI breakthrough is expected to accelerate drug discovery by decades.