AWS Machine Learning

MAY 1, 2024

We developed the Document Translation app, which uses Amazon Translate , to address these issues. The Document Translation app uses Amazon Translate for performing translations. Amazon Translate provides high-quality document translations for contextual, accurate, and fluent translations. 1 – Translating a document.

APIs 132

APIs Construction Best practices Technology 132

AWS Machine Learning

AUGUST 21, 2024

Today, physicians spend about 49% of their workday documenting clinical visits, which impacts physician productivity and patient care. By using the solution, clinicians don’t need to spend additional hours documenting patient encounters. This blog post focuses on the Amazon Transcribe LMA solution for the healthcare domain.

Healthcare 124

Healthcare Consulting Consulting APIs 124

AWS Machine Learning

MAY 1, 2024

This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment. For documentation retrieval, Retrieval Augmented Generation (RAG) stands out as a key tool. Virginia) AWS Region. The following diagram illustrates the solution architecture.

Chatbots 134

Chatbots APIs Engineering Automotive 134

AWS Machine Learning

SEPTEMBER 3, 2024

collect() Next, you can visualize the size of each document to understand the volume of data you’re processing. Adjust the layout plt.tight_layout() # Show the plot plt.show() %matplot plt Every PDF document contains multiple pages to process, and this task can be run in parallel using Spark. latest USER root RUN dnf install python3.11

Big data 125

Big data Engineering Accountability Real estate 125

ShepHyken

JULY 2, 2021

Compile the most frequently asked questions in a shared document, determine the best possible answers, and distribute the document to your customer service team. . This document will act as a single source of truth your team can reference. Are you finding any patterns in questions or concerns stated over social media?

Customer Service 390

Customer Service Chatbots Accountability Self service 390

AWS Machine Learning

DECEMBER 12, 2024

A large portion of that information is found in text narratives stored in various document formats such as PDFs, Word files, and HTML pages. Some information is also stored in tables (such as price or product specification tables) embedded in those same document types, CSVs, or spreadsheets.

Enterprise 92

Enterprise Chatbots Accountability Marketing 92

ShepHyken

NOVEMBER 20, 2020

The vision document is critical to set the direction for your team, so you need to make it clear. Also, make it available at all times through your company’s document sharing service. Include an explanation of each touchpoint in a separate document. Make it step-by-step to include every communication touchpoint.

Customer Service 385

Customer Service Chatbots Education Feedback 385

Beyond Philosophy

AUGUST 13, 2020

We changed the line the new policy representatives said from, “You should receive your policy documents in five working days,” to “You will receive your policy documents in five working days.”

Customer effort 457

Customer effort Government Consulting Consulting 457

Beyond Philosophy

JUNE 11, 2020

We discovered that when customers ordered an insurance policy, the insurance agent would say, “your documentation should be with you within five working days.” ” It turns out the vast majority of people would call back within three days to ask about the documents after this interaction.

Wait times 403

Wait times Management Consulting Consulting 403

Beyond Philosophy

SEPTEMBER 19, 2020

Use Customer Science to document how your efforts work or don’t. The pandemic accelerated changes for all businesses over the past few months, including increased cloud computing use, digital transformations, and the impending rollout of 5G. Without science, you can’t be sure what causes the needle to move in either direction.

Finance 396

Finance Big data Consulting Consulting 396

ShepHyken

FEBRUARY 6, 2023

Document them, and determine if they are an anomaly or brewing bigger issues. Look at the entire customer journey to determine the possible friction points and proactively make it better behind the scenes to create a seamless customer experience. Make a note of the issues that happen often. Treat your customers as partners.

Feedback 310

Feedback Banking Sales Customer Service 310

ShepHyken

SEPTEMBER 18, 2019

Document those examples for others to follow. If an employee asks permission for something they weren’t sure they could say yes to, then that should be the last time the employee should ever have to ask permission for anything similar. Train by citing examples of actual interactions between employees and customers.

Customer Service 332

Customer Service Customer Care 332

ShepHyken

JULY 10, 2019

Because the captain had forgotten to bring his immigration documentation and had to retrieve it from his hotel. My flight attendant told me that earlier in the week, the same flight had been delayed more than two hours. I joked with her and said, “I hope he hasn’t forgotten how to fly the plane!”

Customer Service 328

Customer Service Customer Experience 328

AWS Machine Learning

MARCH 28, 2024

If you’re implementing complex RAG applications into your daily tasks, you may encounter common challenges with your RAG systems such as inaccurate retrieval, increasing size and complexity of documents, and overflow of context, which can significantly impact the quality and reliability of generated answers.

Telecommunications 138

Telecommunications Healthcare Transportation Accountability 138

Beyond Philosophy

OCTOBER 22, 2020

We discovered that after placing an order, the insurance company agent would tell the customers, “Your policy documents should be with you within five days.” We had the agents say instead, “Your policy documents will be with you within five days.” ” It was the word “should.”

Journey mapping 286

Journey mapping Consulting Consulting Advertising 286

CCNG

OCTOBER 26, 2024

QA teams should support the contact center by defining, documenting, standardizing, and simplifying all performance expectations. With the backing of senior leadership, the Quality Team is responsible not only for the clarity of these guidelines but also for the training and calibration of all team leaders to meet these standards.

Contact Center 195

Contact Center CCNG Calibration Average Handle Time 195

AWS Machine Learning

SEPTEMBER 12, 2024

You can use the BGE embedding model to retrieve relevant documents and then use the BGE reranker to obtain final results. The application sends the user query to the vector database to find similar documents. The documents returned as a context are captured by the QnA application.

APIs 136

APIs Benchmark Enterprise Construction 136

AWS Machine Learning

JUNE 18, 2024

Many companies across all industries still rely on laborious, error-prone, manual procedures to handle documents, especially those that are sent to them by email. Intelligent automation presents a chance to revolutionize document workflows across sectors through digitization and process optimization.

Construction 129

Construction Government Analytics Healthcare 129

AWS Machine Learning

JANUARY 12, 2024

They don’t capture the full context of a document, making them less effective in dealing with unstructured data. Embeddings are generated by representational language models that translate text into numerical vectors and encode contextual information in a document. They provide ease of use and strong security and privacy controls.

Enterprise 140

Enterprise Engineering APIs Surveys 140

AWS Machine Learning

JULY 10, 2024

However, it’s important to note that in RAG-based applications, when dealing with large or complex input text documents, such as PDFs or.txt files, querying the indexes might yield subpar results. Advanced parsing Advanced parsing is the process of analyzing and extracting meaningful information from unstructured or semi-structured documents.

APIs 138

APIs Education Management 138

AWS Machine Learning

MAY 30, 2024

To serve their customers, Vitech maintains a repository of information that includes product documentation (user guides, standard operating procedures, runbooks), which is currently scattered across multiple internal platforms (for example, Confluence sites and SharePoint folders).

Chatbots 135

Chatbots Engineering APIs Technology 135

AWS Machine Learning

JULY 24, 2024

Customers of all sizes and industries can securely index data from a variety of data sources such as document repositories, web sites, content management systems, customer relationship management systems, messaging applications, database, and so on. To enable users to do secure querying, Amazon Q Business honors ACLs of the documents.

Enterprise 135

Enterprise Engineering APIs Accountability 135

AWS Machine Learning

APRIL 8, 2024

However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories. To refine the search results, you can filter based on document metadata to improve retrieval accuracy, which in turn leads to more relevant FM generations aligned with your interests.

APIs 135

APIs Construction Chatbots Accountability 135

AWS Machine Learning

JUNE 18, 2024

Manually identifying all mentions of specific types of information in documents is extremely time-consuming and labor-intensive. This process must be repeated for every new document and entity type, making it impractical for processing large volumes of documents at scale.

APIs 133

APIs Healthcare Personalization Management 133

Callminer

MAY 26, 2020

Average Handle Time (AHT) gives an accurate, real-time measurement of the usual amount of time it takes to handle an interaction from start to finish, from the initiation of the call to the time your organization’s call center agents are spending on the phone with individual callers and handling any follow-up tasks, such as documentation.

Call Center 340

Call Center Metrics Average Handle Time First call resolution 340

AWS Machine Learning

JUNE 25, 2024

Jamba-Instruct is built by AI21 Labs, and most notably supports a 256,000-token context window, making it especially useful for processing large documents and complex Retrieval Augmented Generation (RAG) applications. Prompt guidance for Jamba-Instruct can be found in the AI21 model documentation.

Benchmark 130

Benchmark APIs Enterprise Technology 130

AWS Machine Learning

AUGUST 7, 2024

To find an answer, RAG takes an approach that uses vector search across the documents. Rather than scanning every single document to find the answer, with the RAG approach, you turn the texts (knowledge base) into embeddings and store these embeddings in the database. Generate questions from the document using an Amazon Bedrock LLM.

APIs 137

APIs Chatbots Metrics Education 137

ShepHyken

JANUARY 7, 2022

If you verify and document, you have less to worry about. Your customer communications should always be fully documented, whether positive or negative feedback, including what the outcome was, by whom it was offered and fulfilled, and when the case is closed out.

Complaint resolution 227

Complaint resolution Entertainment Feedback Customer Experience 227

AWS Machine Learning

JUNE 5, 2024

You can use Amazon Comprehend to identify the language of the text; extract key phrases, places, people, brands, or events; understand sentiment about products or services; and identify the main topics from a library of documents. For minimum training requirements, see General quotas for document classification.

APIs 123

APIs Metrics Accountability Enterprise 123

AWS Machine Learning

OCTOBER 9, 2024

Amazon Q Business offers over 40 built-in connectors to popular enterprise applications and document repositories, including Amazon Simple Storage Service (Amazon S3) , Salesforce, Google Drive, Microsoft 365, ServiceNow, Gmail, Slack, Atlassian, and Zendesk and can help you create your generative AI solution with minimal configuration.

APIs 133

APIs Enterprise Management Accountability 133

AWS Machine Learning

SEPTEMBER 16, 2024

Workflow of RAG Orchestration The RAG orchestration generally consists of two steps: Retrieval – RAG fetches relevant documents from an external data source using the generated search queries. When presented with the search queries, the RAG-based application searches the data source for relevant documents or passages.

Enterprise 127

Enterprise Accountability APIs Metrics 127