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Through advanced analytics, software, research, and industry expertise across more than 20 countries, Verisk helps build resilience for individuals, communities, and businesses. The company is committed to ethical and responsibleAI development with human oversight and transparency.
The brand might be willing to absorb the higher costs of using a more powerful and expensive FMs to achieve the highest-quality classifications, because misclassifications could lead to customer dissatisfaction and damage the brands reputation. You can use Amazon Bedrock Guardrails for implementing responsibleAI policies.
Use case and model governance plays a crucial role in implementing responsibleAI and helps with the reliability, fairness, compliance, and risk management of ML models across use cases in the organization. It’s a binary classification problem where the goal is to predict whether a customer is a credit risk.
Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. The platform provides a comprehensive set of annotation tools, including object detection, segmentation, and classification.
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