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Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question.
Predictiveanalytics technology has become essential for traders looking to find the best investing opportunities. Predictiveanalytics tools can be particularly valuable during periods of economic uncertainty. PredictiveAnalytics Helps Traders Deal with Market Uncertainty. Analytics Vidhya, Neptune.AI
In 2008 I observed people’s online activity with social media and I sensed a game changing technology. PredictiveanalyticsPredictiveanalytics is another area where AI can help digital marketers. This can be used to predict customer behavior, including what products they are likely to purchase and when.
Content marketing was an obscure term that I stumbled upon while reading the book “ The New Rules of Marketing and PR ” by David Meerman-Scott in 2008. It revealed a new creative digital marketing tactic that turned my old ideas of lead generation on its head.
Sarah Riley, a research economist with the University of North Carolina wrote an paper in 2020 titled PredictiveAnalytics for Reducing Student Loan Default. As the title suggests, it is geared towards using data analytics to anticipate the risk of a borrower defaulting on their student loans.
Heres how they enhance the power of Data Science: PredictiveAnalytics: ML algorithms can predict customer behaviour, enabling businesses to tailor marketing strategies. AI Predicts Oscar Winners with 90% Accuracy An AI-powered algorithm created to predict Oscar winners with an impressive 90% accuracy rate.
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