Natural Language Processing (NLP): NLP enables computers to understand, interpret, and respond to human language in a way that is similar to how humans do.
Machine Learning: Machine learning algorithms allow computers to learn from and make predictions or decisions based on large amounts of data without being explicitly programmed.
Computer Vision: Computer vision technology enables computers to understand and interpret visual information from images or videos, allowing them to recognize objects, faces, and scenes.
Speech Recognition: Speech recognition software converts spoken language into written text, enabling computers to understand and respond to voice commands.
Virtual Assistants: Virtual assistants, such as Apple’s Siri or Amazon’s Alexa, use AI technologiesto understand and respond to user queries, perform tasks, and provide personalized recommendations.
Recommendation Systems: Recommendation systems use AI algorithms to analyze user preferences and behavior, providing personalized recommendations for products, services, or content.
Autonomous Vehicles: AI technologies are used in autonomous vehicles to perceive the environment, make decisions, and control the vehicle’s movements without human intervention.
Fraud Detection: AI-powered fraud detection systems analyze patterns, anomalies, and behaviors to identify and prevent fraudulent activities in various industries, such as finance and e-commerce.
Healthcare Diagnostics: AI-based diagnostic systems analyze medical data, such as images or patient records, to assist healthcare professionals in diagnosing diseases and conditions more accurately.
Robotics: AI technologies are used in robotics to enable machines to perform tasks autonomously, interact with the environment, and learn from experiences. Source https://gng.com.ng/2023/09/11/10-best-ai-technologies-and-artificial-intelligence-software-2023/