Data Analytics & AI
Data
Analytics
Data analytics and artificial intelligence (AI) are closely related and often work together to derive valuable insights, make predictions, and automate decision-making.
Descriptive Analytics
Examining historical data to understand what has happened in the past.
Predictive Analytics
Using data and statistical algorithms to identify the likelihood of future outcomes.
Prescriptive Analytics
Recommending actions to optimize outcomes based on analysis.
Artificial
Intelligence (AI)
Machine Learning
Algorithms that enable systems to learn and improve from experience.
Natural Language Processing (NLP)
Computer Vision
Natural Language Processing (NLP): Enabling machines to understand, interpret, and generate human-like language.
Allowing machines to interpret and make decisions based on visual data.
Relationship between
Data Analytics and AI
Intersection
AI often involves data analytics, particularly machine learning, where models are trained on large datasets to make predictions or decisions.
Enabling AI
Data analytics provides the foundation for training AI models by supplying the necessary data for learning and improving performance.
Feedback Loop
AI systems generate new data as they operate, contributing to a feedback loop that can be further analyzed to enhance the system's performance.
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