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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 94
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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 71
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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 99
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Explain medical decisions in clinical settings using Amazon SageMaker Clarify

AWS Machine Learning

model_name = "hospital-triage-model" sagemaker_client.create_model( ExecutionRoleArn=role, ModelName=model_name, PrimaryContainer=container_def, ) print(f"Model created: {model_name}") Next, create an endpoint configuration by calling the create_endpoint_config API. Here, you supply the same model_name used in the create_model API call.

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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning

Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data. Large language models – The large language models (LLMs) are available via Amazon Bedrock, SageMaker JumpStart, or an API. Data exploration on stock data is done using Athena.

Marketing 101
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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

To help you get started, we’ve also released a set of sample one-click deployable Lambda functions ( plugins ) to integrate QnABot with your choice of leading LLM providers, including our own Amazon Bedrock service and APIs from third-party providers, Anthropic and AI21. We expect to add more sample plugins over time.