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Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning

Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker.

Scripts 104
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Build custom code libraries for your Amazon SageMaker Data Wrangler Flows using AWS Code Commit

AWS Machine Learning

Instead of hardcoding the custom function into your custom transform step, you pull a script containing the function from CodeCommit, load it, and call the loaded function in your custom transform step. We use the get_file API function to pull files from the CodeCommit repository into the Data Wrangler environment. Choose Preview.

Scripts 66
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The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

NobelBiz

Account Setup and Verification : Upon receiving a debt, the agency sets up an account for the debtor and verifies all the details. Educating debtors about their options, offering flexible repayment plans, and maintaining open lines of communication are all part of this new customer service paradigm.

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JustCall vs Aircall: A Comprehensive Comparison in 2023

JustCall

Highlights of JustCall and Aircall Highlights of JustCall: JustCall is a SaaS VoIP application, which is typically used by the following industries: Marketing and Advertising (9.7%) Computer Software (9.3%) Real Estate (8.4%) Education Management (6.6%) Information Technology and Services (6.2%) Others (59.7%

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 113
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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

For example, a chatbot could suggest products that match a shopper’s preferences and past purchases, explain details in language adapted to the user’s level of expertise, or provide account support by accessing the customer’s specific records. It also supports source attribution and short-term memory needed for RAG applications. Choose Next.

Chatbots 106
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Customer Self-Service: How to Give Customers What They Want

JivoChat

Customers can also troubleshoot simple problems or perform quick administrative tasks like resetting their passwords, adding a live chat button , managing their billing, or changing other account information. For example, you can update blog posts, improve chatbot scripts, or build a better, more focused knowledge base. 53% of U.S.