Artificial Intelligence
da Stakeholder Map
1. Definition
1.1. Computer systems able to perform tasks that normally require human intelligence
1.2. Examples: visual perception, speech recognition, decision-making
2. Applications of Artificial Intelligence
2.1. Healthcare
2.1.1. Predictive diagnosis
2.2. Sales and Marketing
2.2.1. Personalized customer experience
2.3. Finance
2.3.1. Fraud detection and risk management
2.4. Agriculture
2.4.1. Crop and soil monitoring
2.5. Autonomous vehicles
3. Impact on Society
3.1. Improved efficiency and effectiveness
3.2. Enhanced quality of life
3.3. Potential for abuse
4. Types of Artificial Intelligence
4.1. Rule-based Systems
4.1.1. If-Then rules processing the data
4.2. Machine Learning
4.2.1. Systems learning independently
4.2.1.1. Supervised Learning
4.2.1.1.1. Learning with labelled data
4.2.1.2. Unsupervised Learning
4.2.1.2.1. Learning with unlabeled data
4.2.1.3. Reinforcement Learning
4.2.1.3.1. Learning from rewards and punishments
4.3. Deep Learning
4.3.1. Subset of machine learning
4.3.1.1. Encoding thought process in layers
4.3.1.2. Uses large neural networks
4.4. Robotics
4.4.1. Robots performing tasks without human intervention
4.4.1.1. Autonomous vehicles
4.4.1.2. Drones
4.4.1.3. Surgical robots