Predictive analytics in AI refers to the use of statistical models and ML techniques to analyze data and make predictions about future outcomes. The goal of predictive analytics is to identify patterns and relationships in data and use that information to forecast what is likely to happen next. This technology is widely used in industries such as finance, marketing, healthcare, and retail to help make data-driven decisions and improve outcomes.
For example, a retail company might use predictive analytics to predict consumer buying habits and tailor their product offerings accordingly. A hospital might use predictive analytics to identify patients who are at risk for a certain health condition and intervene early to prevent it from becoming a more serious issue.
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AI in FinTech
AI in FinTech refers to the seamless integration of AI technologies into the fabric of financial services, enhancing accessibility, convenience, and efficiency.
AI in Retail
AI in retail refers processesing vast amounts of data to generate insights, automate tasks, and enhance customer experiences.
Supervised and Unsupervised Learning
Both are the types of machine learning. They are the same in terms of results but different in how those are obtained.