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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning

In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences. Although the principles discussed are applicable across various industries, we use an automotive parts retailer as our primary example throughout this post.

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Simplify automotive damage processing with Amazon Bedrock and vector databases

AWS Machine Learning

In the automotive industry, the ability to efficiently assess and address vehicle damage is crucial for efficient operations, customer satisfaction, and cost management. By combining these powerful tools, we have developed a comprehensive solution that streamlines the process of identifying and categorizing automotive damage.

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Amazon EC2 DL2q instance for cost-efficient, high-performance AI inference is now generally available

AWS Machine Learning

The same Qualcomm AI stack and base AI technology runs on the DL2q instances and Qualcomm edge devices, providing customers a consistent developer experience, with a unified API across their cloud, automotive, personal computer, extended reality, and smartphone development environments. reshape(output_shape) Decode the output produced.

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Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Innovation for Inclusion: Hack.The.Bias with Amazon SageMaker

AWS Machine Learning

In the architecture shown in the following diagram, users input text in the React -based web app, which triggers Amazon API Gateway , which in turn invokes an AWS Lambda function depending on the bias in the user text. Additionally, it highlights the specific parts of your input text related to each category of bias.

APIs 124
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Driving API Security Forward: Protecting Vehicle-to-Cloud Communications

Cisco - Contact Center

In the rapidly evolving automotive landscape, vehicles are no longer just machines that move us from point A to point B; they have transformed into complex, interconnected systems on wheels. With this… Read more on Cisco Blogs

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Connect to Amazon services using AWS PrivateLink in Amazon SageMaker

AWS Machine Learning

This isolates the instance from the internet and makes API calls to other AWS services not possible. Test the connection You can test the connection to Amazon Bedrock using a simple Python API call. AWS PrivateLink enables you to connect privately to several AWS services, for a current list please see this page.