What is Artificial Intelligence (AI)?
Artificial Intelligence (AI) refers to systems and technologies that simulate human intelligence. These systems perform tasks typically requiring human cognition, such as learning, problem-solving, and decision-making.
Key AI Workloads and Real-World Examples
1. Machine Learning (ML)
Machine learning focuses on training algorithms to analyze data, recognize patterns, and make predictions or decisions.
- Real-World Example: Fraud detection in banking uses ML to identify unusual transaction patterns, helping prevent unauthorized activities.
2. Computer Vision
Computer vision enables computers to understand and interpret visual information from images, videos, and the environment.
- Real-World Example: Autonomous vehicles, like Tesla’s self-driving cars, rely on computer vision to detect obstacles, lane markings, and traffic signs.
3. Natural Language Processing (NLP)
NLP allows machines to understand, interpret, and generate human language.
- Real-World Example: Virtual assistants like Alexa and Google Assistant process voice commands to provide weather updates, play music, or control smart devices.
4. Document Intelligence
Document intelligence focuses on automating the extraction, organization, and processing of data from structured and unstructured documents.
- Real-World Example: AI-powered tools like DocuSign analyze contracts and streamline workflows for document approvals in businesses.
5. Knowledge Mining
Knowledge mining extracts valuable insights from vast datasets, turning unstructured information into actionable knowledge.
- Real-World Example: Healthcare systems use AI to analyze medical records and research data, aiding in personalized treatment plans.
6. Generative AI
Generative AI creates new content, such as text, images, audio, or even software code, often mimicking human creativity.
- Real-World Example: Tools like ChatGPT generate human-like responses for customer support, while DALL·E creates artwork from textual descriptions.