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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. Rajdeep Banerjee is a Senior Partner Solutions Architect at AWS helping strategic partners and clients in the AWS cloud migration and digital transformation journey.

APIs 72
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Streamline Sales Processes with Enterprise CPQ

Cincom

Configurable rules encode compliance requirements and best practices to guide users and skip unnecessary steps. Help Sales Reps Adapt to New Processes Guided selling pathways within Cincom CPQ encode established best practices for enterprise sales scenarios, making onboarding new reps simpler and faster.

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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

We demonstrate how to use CI/CD the low-code/no-code tools code to integrate it into your MLOps environment, while adhering with MLOps best practices. To learn more about SageMaker Projects and creating custom project templates aligned with best practices, refer to Build Custom SageMaker Project Templates – Best Practices.