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Infinity Launches Keyword Packs: Answering Your Biggest Questions Faster

Infinity

Our Conversation Analytics suite enables you to automatically spot every time an individual word or phrase is mentioned on a call, with customisable parameters. Automotive Dealerships & Healthcare Providers. All of this means this means you can start getting what you want out of Conversation Analytics far quicker.

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20 Car Sales Scripts to Close More Deals

JustCall

Effective sales scripts tailored for various customer interactions can guide conversations to successful outcomes. This article provides ten car sales script samples that harness the power of persuasive dialogue to boost your sales performance with JustCall. 20 Car Sales Scripts Need to rev up your sales conversations?

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Build Streamlit apps in Amazon SageMaker Studio

AWS Machine Learning

Next the script will install packages iproute and jq , which will be used in the following step. Next the script will install packages iproute and jq , which will be used in the following step. Note that while developing, it might be helpful to automatically rerun the script when app.py sh setup.sh sh setup.sh

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Machine Learning with MATLAB and Amazon SageMaker

AWS Machine Learning

It’s heavily used in many industries such as automotive, aerospace, communication, and manufacturing. REGION.amazonaws.com/sagemaker-matlab-training-r2023a:latest Open MATLAB and open the live script called PumpFaultClassificationMATLABSageMaker.mlx in folder examples/PumpFaultClassification. amazonaws.com docker push ACCOUNT.dkr.ecr.

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Unlocking creativity: How generative AI and Amazon SageMaker help businesses produce ad creatives for marketing campaigns with AWS

AWS Machine Learning

Solution overview Consider the following scenario: a global automotive company needs new marketing material generated for their new car design being released and hires a creative agency that is known for providing advertising solutions for clients with strong brand equity. to the local directory as tar.gz to the local directory as tar.gz

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

AWS Machine Learning

Agent: "I understand your need for cross-tenant analytics. The following is the code to parse the output: # This python script parses LLM output into a comma separated list with the SupportID, Category, Reason # Command line is python parse_llm_putput.py Technical Account Manager and a specialist in analytics and AI/ML at AWS.

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Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning

To create these packages, run the following script found in the root directory: /build_mlops_pkg.sh Her specialization is machine learning, and she is actively working on designing solutions using various AWS ML, big data, and analytics offerings. Prachi Kulkarni is a Senior Solutions Architect at AWS.