Remove Document Remove e-support Remove User Experience
article thumbnail

Unlocking B2B Success: The Essential Role of Onboarding, Design, and Customer Experience

ECXO

Last year, our team worked with Samsung to enhance the design and customer experience of their SDS and SDN product lines. Key components include: Clear Communication: Benefits should be communicated clearly, supported by user-friendly interfaces and personalized experiences.

B2B 197
article thumbnail

Intelligent document processing with AWS AI services: Part 2

AWS Machine Learning

Amazon’s intelligent document processing (IDP) helps you speed up your business decision cycles and reduce costs. Across multiple industries, customers need to process millions of documents per year in the course of their business. The following figure shows the stages that are typically part of an IDP workflow.

Banking 78
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Dialogue-guided intelligent document processing with foundation models on Amazon SageMaker JumpStart

AWS Machine Learning

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. Natural language processing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience. You can also choose g5.48xlarge or p4de.24xlarge

Banking 77
article thumbnail

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.

article thumbnail

B2B Customer Experience: The Complete Guide

InMoment XI

Software company PandaDoc uses multiple surveys to monitor customer sentiment and improve product experience. The company also acts on insights from customer feedback in order to understand improve the skills of its support agents, enabling them to become better at serving PandaDoc customers. Support and service.

B2B 413
article thumbnail

Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation

AWS Machine Learning

A typical RAG solution for knowledge retrieval from documents uses an embeddings model to convert the data from the data sources to embeddings and stores these embeddings in a vector database. When a user asks a question, it searches the vector database and retrieves documents that are most similar to the user’s query.

e-support 112
article thumbnail

Revolutionizing knowledge management: VW’s AI prototype journey with AWS

AWS Machine Learning

Today, we’re excited to share the journey of the VW —an innovator in the automotive industry and Europe’s largest car maker—to enhance knowledge management by using generative AI , Amazon Bedrock , and Amazon Kendra to devise a solution based on Retrieval Augmented Generation (RAG) that makes internal information more easily accessible by its users.