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Guest Blog: Don’t Waste My Precious Time

ShepHyken

Insight technologies that deliver personalization and predictive analytics. While such a collection of engagement tools and capabilities may be new to some industries, they’re already well-established and advancing rapidly in the customer experience space. Supporting technologies that will drive new levels of speed and efficiency.

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How GoDaddy built Lighthouse, an interaction analytics solution to generate insights on support interactions using Amazon Bedrock

AWS Machine Learning

GoDaddy empowers everyday entrepreneurs by providing all the help and tools to succeed online. Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.

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Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

AWS Machine Learning

We also look into how to further use the extracted structured information from claims data to get insights using AWS Analytics and visualization services. We highlight on how extracted structured data from IDP can help against fraudulent claims using AWS Analytics services. Amazon Redshift is another service in the Analytics stack.

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Dynamic video content moderation and policy evaluation using AWS generative AI services

AWS Machine Learning

The frontend UI interacts with the extract microservice through a RESTful interface provided by Amazon API Gateway. It offers details of the extracted video information and includes a lightweight analytics UI for dynamic LLM analysis. Detect generic objects and labels using the Amazon Rekognition label detection API.

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Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

AWS Machine Learning

With built-in security, cost-effectiveness, and a range of pre-built tools like Amazon SageMaker Autopilot , Amazon SageMaker JumpStart , and Amazon SageMaker Feature store , SageMaker Studio is a powerful platform for accelerating AI projects and empowering data scientists at every level of expertise.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

Professionals in a wide variety of industries have adopted digital video conferencing tools as part of their regular meetings with suppliers, colleagues, and customers. For integration between services, we use API Gateway as an event trigger for our Lambda function, and DynamoDB as a highly scalable database to store our customer details.

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15+ Best Mobile In-App Feedback Tools

ProProfs Blog

In-app feedback tools help businesses to collect real-time customer feedback , which is essential for a thriving business strategy. Modern marketers and customer success managers leverage in-app feedback tools as they eliminate the need for the users to leave the app for providing valuable feedback. . 16 Mobile In-App Feedback Tools.