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AI and Customer Experience: The Smarter, Faster, and More Personal Duo Redefining B2B Success

eglobalis

This model processes multiple data types, including text, code, and images, to deliver customized services such as coding assistance for developers and document summarization for corporate users. Samsungs Gauss Portal uses AI to summarize and translate documents, providing valuable insights for corporate users.

B2B 371
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Multimodal User Experience Design Best Practices

Uniphore

Personalize where possible Even if you plan on using a multimodal virtual agent to limit the number of calls an agent needs to take, offering an experience that feels human and personalized is still paramount. Some key ways to avoid a cookie-cutter experience include using conversational AI that takes advantage of existing customer data.

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Unicorns Dependency in CX – Here Is How You Avoid This “Trap”

ECXO

This ensures that your customer experience is consistent, no matter who is handling the interaction. Document best practices, create playbooks, and make sure that all employees are on the same page. Encourage unicorns to document their methods, solutions, and best practices.

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Integrate generative AI capabilities into Microsoft Office using Amazon Bedrock

AWS Machine Learning

operation.font.set({ name: 'Arial' }); // flush changes to the Word document await context.sync(); }); Generative AI backend infrastructure The AWS Cloud backend consists of three components: Amazon API Gateway acts as an entry point, receiving requests from the Office applications Add-in. Here, we use Anthropics Claude 3.5

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Customer Experience Journey Mapping Strategies to Improve Business Performance

InMoment XI

With this information, you can improve your customer experience and eliminate pain points. In fact, over 70% of organizations say that customer journey mapping has helped them improve the user experience (UX) of a product or service or has helped them gain investment to create new features.

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

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Detect signatures on documents or images using the signatures feature in Amazon Textract

AWS Machine Learning

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Signatures is a feature within Amazon Textract that offers the ability to automatically detect signatures on any document. Lastly, we share some best practices for using this feature.

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