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Predictive Analytics with AI
Manage episode 439348203 series 1947256
Predictive Analytics: Foreseeing Market Trends with AI Webinar What is Predictive Analytics? “Predictive analytics is the practice of using data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. It enables businesses to anticipate market trends, customer behaviours, and potential risks, allowing for proactive decision-making.” What Are Market Trends? “Market trends refer to patterns or movements in the market that signal the direction of consumer behaviour, industry developments, and economic shifts. Understanding trends helps businesses adapt to changing markets, innovate product offerings, and maintain a competitive edge.” Components of Predictive Analytics Key Components: Data Collection: Gathering relevant data from various sources. Statistical Algorithms: Techniques like regression analysis, clustering, and decision trees. Machine Learning Models: Algorithms that learn from data to make predictions. Data Analysis: Interpreting the results to inform strategic decisions.
506 episode
Manage episode 439348203 series 1947256
Predictive Analytics: Foreseeing Market Trends with AI Webinar What is Predictive Analytics? “Predictive analytics is the practice of using data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. It enables businesses to anticipate market trends, customer behaviours, and potential risks, allowing for proactive decision-making.” What Are Market Trends? “Market trends refer to patterns or movements in the market that signal the direction of consumer behaviour, industry developments, and economic shifts. Understanding trends helps businesses adapt to changing markets, innovate product offerings, and maintain a competitive edge.” Components of Predictive Analytics Key Components: Data Collection: Gathering relevant data from various sources. Statistical Algorithms: Techniques like regression analysis, clustering, and decision trees. Machine Learning Models: Algorithms that learn from data to make predictions. Data Analysis: Interpreting the results to inform strategic decisions.
506 episode
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