AI General Sectors

These sectors form the foundation of many AI applications across various fields.

Machine Learning (ML) & Deep Learning

Focuses on algorithms that allow systems to learn and improve from experience, particularly for predictive analytics and pattern recognition.

Natural Language Processing (NLP)

Involves AI systems understanding and generating human language, including speech recognition, chatbots, and sentiment analysis.

Computer Vision

Enables machines to interpret and understand visual information from the world, including image recognition, facial recognition, and autonomous vehicles.

Robotics & Automation

Involves creating robots that can perform tasks autonomously or semi-autonomously, commonly used in manufacturing, healthcare, and logistics.

AI in Healthcare

Focuses on leveraging AI in medical diagnostics, treatment planning, drug discovery, personalized medicine, and health monitoring.

AI in Finance

Includes algorithmic trading, fraud detection, credit scoring, risk management, and customer service automation (e.g., chatbots).

AI in Education

Involves creating AI-based tools for personalized learning, automated grading, and improving education accessibility.

AI in Cybersecurity

Uses AI to detect and respond to cyber threats, identify vulnerabilities, and automate responses to security incidents.

AI in Marketing & Sales

Uses AI for customer segmentation, predictive analytics, recommendation systems, and automating customer interactions.

Ethics & Governance of AI

Focuses on the ethical implications of AI, including bias, fairness, transparency, and ensuring AI systems adhere to legal and regulatory standards.