Remove APIs Remove industry solution Remove Personalization
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Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

AWS Machine Learning

By implementing a proactive security monitoring and alerting system, users can receive personalized notifications in preferred channels like email, SMS, or push notifications. The Lambda function calls Anthropic’s Claude 3 Sonnet model through Amazon Bedrock APIs with the input request.

APIs 73
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Streamline Sales Processes with Enterprise CPQ

Cincom

Integration with Existing Systems: APIs facilitate data sharing between CPQ and other core platforms like CRM, ERP, accounting, e-commerce, and more. Consolidated data grants a comprehensive view of customer history and lifecycle, facilitating personalized cross-sell offers anticipating evolving needs to drive loyalty.

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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning

Personalization has become a cornerstone of delivering tangible benefits to businesses and their customers. We present our solution through a fictional consulting company, OneCompany Consulting, using automatically generated personalized website content for accelerating business client onboarding for their consultancy service.

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Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

AWS Machine Learning

Solution overview To demonstrate the orchestrated workflow, we use the publicly available UCI Adult 1994 Census Income dataset to predict if a person has an annual income of greater than $50,000 per year. This is a binary classification problem; the options for the income target variable are either over $50,000 or under $50,000.