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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

Supervised learning Supervised learning techniques use real-world input and output data to detect anomalies. These types of anomaly detection systems require a data analyst to label data points as either normal or abnormal to be used as training data.

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How generative AI delivers value to insurance companies and their customers

IBM Big Data Hub

To align with key imperatives and transform their companies, insurers need to provide digital offerings to their customers, become more efficient, use data more intelligently, address cyber security concerns and have a resilient and stable offering. The supervised learning that is used to train AI requires a lot of human effort.

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Tokyo 2020: when a sprint turned into a marathon

CILIP

And, from a blank sheet of paper, a safe and secure way found of hosting the world?s Its intention is to secure greater solidarity, further digitalisation, increased sustainability, strengthened credibility and a reinforced focus on the role of sport in society. All the venue agreements to be renegotiated. All the plans redrawn.