Remove Auto-classification Remove Responsible AI Remove Software Engineer
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Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support

AWS Machine Learning Blog

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 responsible AI development with human oversight and transparency.

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From concept to reality: Navigating the Journey of RAG from proof of concept to production

AWS Machine Learning Blog

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 responsible AI policies.

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning Blog

Use case and model governance plays a crucial role in implementing responsible AI 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.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

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.