Blog Series: Artificial Intelligence & Machine Learning

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Minimizing Risks and Maximizing Rewards from Machine Learning

Kathryn Marchesini | September 7, 2022

When talking about artificial intelligence (AI) today, people are usually referring to predictive models—often driven by machine learning (ML) techniques—that “learn” from historic data and make predictions, recommendations, or classifications (outputs) which inform or drive decision making. The power of ML is in its enormous flexibility. You can build a model to predict or recommend just about anything, and we have seen it transform many sectors.

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