Artificial intelligence (AI) is used in many areas of life, including: Transportation:  AI improves navigation systems by processing real-time traffic data, weather, and historical patterns to provide route suggestions.  AI also powers autonomous vehicles that use sensors and machine learning to navigate roads.   Online shopping and advertising:  AI provides personalized recommendations based on a person's previous searches, purchases, and other online behavior.   Web search:  Search engines use AI to learn from user data to provide relevant search results.   Digital assistants:  Smartphones use AI to provide personalized services.   Machine translation:  AI-powered language translation software can translate written or spoken text.   Cybersecurity:  AI systems can recognize and fight cyberattacks by analyzing data and identifying patterns.   Games:  AI has been used in games since the 1950s, and has beaten hum...

 ARTIFICIAL INTELLIGENCE

Artificial intelligence is a field of science concerned with building computers and machines that can reason, learn, and act in such a way that would normally require human intelligence or that involves data whose scale exceeds what humans can analyze. 

AI is a broad field that encompasses many different disciplines, including computer science, data analytics and statistics, hardware and software engineering, linguistics, neuroscience, and even philosophy and psychology. 

On an operational level for business use, AI is a set of technologies that are based primarily on machine learning and deep learning, used for data analytics, predictions and forecasting, object categorization, natural language processing, recommendations, intelligent data retrieval, and more.

How does AI work?

While the specifics vary across different AI techniques, the core principle revolves around data. AI systems learn and improve through exposure to vast amounts of data, identifying patterns and relationships that humans may miss.

This learning process often involves algorithms, which are sets of rules or instructions that guide the AI's analysis and decision-making. In machine learning, a popular subset of AI, algorithms are trained on labeled or unlabeled data to make predictions or categorize information. 

Deep learning, a further specialization, utilizes artificial neural networks with multiple layers to process information, mimicking the structure and function of the human brain. Through continuous learning and adaptation, AI systems become increasingly adept at performing specific tasks, from recognizing images to translating languages and beyond.

Want to learn how to get started with AI? Take the free beginner's introduction to generative AI.

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