AI, BI and ML

Short and Simple Summaries (Data source from OpenAI):

AI stands for Artificial Intelligence, which involves creating intelligent machines that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI systems can be designed to learn from data and improve their performance over time.

BI stands for Business Intelligence, which involves the use of data analytics tools and techniques to extract insights from data and inform business decisions. BI tools often involve collecting, analyzing, and presenting data in a way that makes it easy for business users to understand and act on.

ML stands for Machine Learning, which is a subset of AI and involves using statistical and mathematical techniques to enable computer systems to learn from data and improve their performance without being explicitly programmed. ML algorithms can be used to analyze data, make predictions, and automate decision-making processes.

In summary, AI focuses on creating intelligent machines that can perform tasks requiring human-like intelligence, BI focuses on using data to inform business decisions, and ML is a subset of AI that involves using statistical techniques to enable computers to learn from data and improve their performance.



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