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Talkdesk for Salesforce provides relief and recovery with industry solutions

Talkdesk

This technology package can reduce friction in the process with an end-to-end customer experience solution that streamlines the administration of PPP loans. Financial institutions can activate the Small Business Lending Solution in as little as 24 hours with some customers doing so in less than a day!

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Build a secure enterprise application with Generative AI and RAG using Amazon SageMaker JumpStart

AWS Machine Learning

Prerequisites Before getting started, make sure you have the following prerequisites: An AWS account. Follow the instructions in Getting Started with the AWS CDK to set up your local environment and bootstrap your development account. We encourage you to deploy the AWS CDK app into your account and build the Generative AI solution.

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Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

AWS Machine Learning

This new feature enables organizations to process large volumes of data when interacting with foundation models (FMs), addressing a critical need in various industries, including call center operations. Prerequisites To use the batch inference feature, make sure you have satisfied the following requirements: An active AWS account.

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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

Overall, ML use cases require a readily available integrated solution to industrialize and streamline the process that takes an ML model from development to production deployment at scale using MLOps. About the Authors Kiran Kumar Ballari is a Principal Solutions Architect at Amazon Web Services (AWS).

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Across accounts, automate deployment using export and import dataset, data source, and analysis API calls provided by QuickSight. About the Authors Stephen Randolph is a Senior Partner Solutions Architect at Amazon Web Services (AWS). Ajay Vishwakarma is an ML engineer for the AWS wing of Wipro’s AI solution practice.

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Introducing AppHub: Inbenta’s New Integrations Portal

Inbenta

A ‘Try it now’ button to automatically create a test integration in the user’s Inbenta account so the user can test and try it at their own pace. An ‘Ask for a demo’ button to send a demo request to the relevant Account Manager, so a full demo can be scheduled. Keep an eye out for the solutions launch! But there is more.

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Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

According to a Forbes survey , there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. This walkthrough includes the following prerequisites: An AWS account. Otherwise, your account may hit the service quota limits of running an m5.4x