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Cautionary tale—BNPL disrupts with faster, smarter, more personalized payment solutions

Maru Group

The global market continues to put extreme pressure on financial institutions to develop faster, smarter, more personalized payment solutions. As early as 2012, fintechs provided a viable alternative to traditional financial institutions for purchases ranging from home appliances to travel packages. Ready to jumpstart your CX program?

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Recommend top trending items to your users using the new Amazon Personalize recipe

AWS Machine Learning

Amazon Personalize is excited to announce the new Trending-Now recipe to help you recommend items gaining popularity at the fastest pace among your users. Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users.

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Being the Bearer of Bad News

ShepHyken

The letter goes on to explain that they haven’t raised prices since 2012 and they want to continue to deliver the quality their members expect. When delivering bad news, you can do it in person or through some type of written correspondence, such as an email or a letter. It’s a bummer. We don’t want to do it.

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68 Customer Support Email Address Name Ideas

CX Accelerator

This may be self-service, in-person, phone, email, chat, social media or text message. In 2012, she co-founded the blog, CustomerServiceLife.com. When you do reach out, you want to know that you’re in good hands and that an answer or resolution to your issue is waiting at the end of that interaction. You may use some or all of them.

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Create a data labeling project with Amazon SageMaker Ground Truth Plus

AWS Machine Learning

For Contains PII , only turn on if your data contains personally identifiable information (PII). For Project name , enter a descriptive name with no spaces or special characters. For Task type , choose the option that best describes the type of data you need labeled.

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Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock

AWS Machine Learning

Whether you’re a person with a motor disability, juggling multiple tasks, or simply away from your computer, getting search results without typing is a valuable feature. This chatbot is designed to assist users with various tasks, provide information, and offer personalized support based on their unique requirements.

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Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Generative AI is used in various use cases, such as content creation, personalization, intelligent assistants, questions and answers, summarization, automation, cost-efficiencies, productivity improvement assistants, customization, innovation, and more.

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