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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

Use hybrid search and semantic search options via SDK When you call the Retrieve API, Knowledge Bases for Amazon Bedrock selects the right search strategy for you to give you most relevant results. You have the option to override it to use either hybrid or semantic search in the API. billion, $6.1 billion, and $5.9 billion, $6.1

APIs 106
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Best Software for Speech Analytics

JustCall

Speech analytics software analyses live or recorded calls and interpret emotional indicators. Speech analytics software uses artificial intelligence to analyze spoken language similar to voice recognition software. What is Speech analytics? Significance of Speech Analytics. Some Best Speech Analytics Software.

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Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 92
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InformedIQ automates verifications for Origence’s auto lending using machine learning

AWS Machine Learning

To classify and extract information needed to validate information in accordance with a set of configurable funding rules, Informed uses a series of proprietary rules and heuristics, text-based neural networks, and image-based deep neural networks, including Amazon Textract OCR via the DetectDocumentText API and other statistical models.

APIs 70
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Build a vaccination verification solution using the Queries feature in Amazon Textract

AWS Machine Learning

If there are between 15–31 queries and the number of pages is between 2–3,001, then Amazon Textract asynchronous processing is the only option, because synchronous APIs only support up to 15 queries and one-page documents. He is passionate about technology and enjoys building and experimenting in the analytics and AI/ML space.

Finance 96
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Explain medical decisions in clinical settings using Amazon SageMaker Clarify

AWS Machine Learning

Prerequisites You need the following prerequisites: An AWS account A SageMaker Jupyter notebook instance Access the code from the GitHub repository and upload it to your notebook instance. Here, you supply the same model_name used in the create_model API call. The endpoint_name must be unique within a Region in your AWS account.

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How Support Teams Can Improve Customer Retention

Help Scout

When a frustrated customer demands a refund, wants to close their account, or expresses disappointment with a product, a great customer service rep can often turn it around with a helpful answer, effective listening, and thoughtful questions. Your finance team, who may be involved with larger account billing. Your sales team.