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Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

AWS Machine Learning

The goal was to refine customer service scripts, provide coaching opportunities for agents, and improve call handling processes. Frontend and API The CQ application offers a robust search interface specially crafted for call quality agents, equipping them with powerful auditing capabilities for call analysis.

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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning

Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.

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Optimal pricing for maximum profit using Amazon SageMaker

AWS Machine Learning

Adspert is a Berlin-based ISV that developed a bid management tool designed to automatically optimize performance marketing and advertising campaigns. The company’s core principle is to automate maximization of profit of ecommerce advertising with the help of artificial intelligence. Availability of each seller’s product.

Scripts 124
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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning

Refer to Getting started with the API to set up your environment to make Amazon Bedrock requests through the AWS API. Test the code using the native inference API for Anthropics Claude The following code uses the native inference API to send a text message to Anthropics Claude. client = boto3.client("bedrock-runtime",

Education 110
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Best practices for TensorFlow 1.x acceleration training on Amazon SageMaker

AWS Machine Learning

Today, a lot of customers are using TensorFlow to train deep learning models for their clickthrough rate in advertising and personalization recommendations in ecommerce. When you use the TensorFlow dataset API and distribute strategy together, the dataset object should be returned instead of features and labels in function input_fn.

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Use Amazon Titan models for image generation, editing, and searching

AWS Machine Learning

The advanced AI model understands complex instructions with multiple objects and returns studio-quality images suitable for advertising , ecommerce, and entertainment. An asynchronous API and Amazon OpenSearch Service connector make it easy to integrate the model into your neural search applications. exclusive) to 10.0

Scripts 132
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Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints

AWS Machine Learning

Inference API – The server exposes an API that allows client applications to send input data and receive predictions from the deployed models. Different request handlers will provide support for the Inference API , Management API , or other APIs available from various plugins.

APIs 128