AWS Machine Learning

NOVEMBER 21, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Layout is a new feature that allows customers to automatically extract layout elements such as paragraphs, titles, subtitles, headers, footers, and more from documents.

APIs 113

APIs Construction Metrics Education 113

Education Services Group

APRIL 27, 2022

I’m not going to waste time trying to document how to correctly (mathematically) calculate all the three letter acronyms—but feel free to check out our Customer Success Definitions, Calculations, and Lingo…Oh My! Instead, I want to do some level setting on some specific metrics and flaws I see in the industry.

Metrics 98

Metrics Surveys SaaS CRM 98

AWS Machine Learning

APRIL 19, 2023

The ability to effectively handle and process enormous amounts of documents has become essential for enterprises in the modern world. Due to the continuous influx of information that all enterprises deal with, manually classifying documents is no longer a viable option.

APIs 96

APIs Metrics Enterprise Best practices 96

AWS Machine Learning

SEPTEMBER 6, 2024

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility. Question Answer Fact Who is Andrew R.

Best practices 95

Best practices Metrics Sales Benchmark 95

AWS Machine Learning

DECEMBER 6, 2023

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.

Analytics 127

Analytics APIs Engineering Construction 127

AWS Machine Learning

NOVEMBER 21, 2022

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Extract and analyze data from documents.

Scripts 84

Scripts Metrics APIs Healthcare 84

Cincom

MAY 3, 2024

Manually creating customized communication documents like quotes, invoices, contracts, and reports is an inefficient process prone to human error. If you’re considering implementing a document automation solution for your organization, there are several key capabilities to evaluate during your search. What Is Document Automation?

Enterprise 40

Enterprise CRM APIs Customer retention 40

AWS Machine Learning

OCTOBER 12, 2022

A massive amount of business documents are processed daily across industries. Many of these documents are paper-based, scanned into your system as images, or in an unstructured format like PDF. Each company may apply unique rules associated with its business background while processing these documents.

APIs 93

APIs Construction Metrics Engineering 93

SharpenCX

JUNE 28, 2023

Improving your customer service metrics requires a deeper look at which KPIs make sense for your contact center and the strategies you use to achieve them. What Call Center Metrics Should You Measure? You can use this metric to identify peak volume as well. You can use this metric to identify peak volume as well.

Call Center 67

Call Center Metrics call center software Contact Center 67

AWS Machine Learning

NOVEMBER 3, 2022

In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. Part 1: Classification and extraction of documents.

Analytics 88

Analytics APIs Healthcare Big data 88

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 132

APIs Chatbots Metrics Education 132

Totango

NOVEMBER 21, 2019

Luckily, there’s a measure for that, too: customer satisfaction metrics. Therefore, you should not only track customer satisfaction, but you should also empower your customer success team to take action based on the lessons these metrics teach you, customer satisfaction metrics. . Document how long onboarding takes.

Best practices 92

Best practices Metrics Customer advocacy Education 92

AWS Machine Learning

NOVEMBER 15, 2024

ANLS is a metric used to evaluate the performance of models on visual question answering tasks, which measures the similarity between the model’s predicted answer and the ground truth answer. When the fine-tuning process is complete, you can review the evaluation metrics for the model. respectively, on the DocVQA test set.

Benchmark 101

Benchmark Metrics Management Analytics 101

AWS Machine Learning

JUNE 20, 2024

In addition, RAG architecture can lead to potential issues like retrieval collapse , where the retrieval component learns to retrieve the same documents regardless of the input. This makes it difficult to apply standard evaluation metrics like BERTScore ( Zhang et al.

Metrics 132

Metrics Engineering Accountability Benchmark 132

AWS Machine Learning

OCTOBER 24, 2024

Broadly speaking, a retriever is a module that takes a query as input and outputs relevant documents from one or more knowledge sources relevant to that query. Document ingestion In a RAG architecture, documents are often stored in a vector store. You must use the same embedding model at ingestion time and at search time.

Chatbots 85

Chatbots Metrics Scripts APIs 85

AWS Machine Learning

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. Model monitoring of key NLP metrics was incorporated and controls were implemented to prevent unsafe, unethical, or off-topic responses.

Chatbots 119

Chatbots Engineering Enterprise Feedback 119

ProProfs Blog

APRIL 17, 2020

But without numbers or metric data in hand, coming up with any new strategy would only consume your valuable time. For example, you need access to metrics like NPS, average response time and others like it to make sure you come up with relevant strategies that help you retain more customers. So, buckle up. 1: Customer Churn Rate. #2:

Metrics 142

Metrics Customer retention SaaS Surveys 142

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 112

APIs Metrics Accountability Enterprise 112

AWS Machine Learning

NOVEMBER 13, 2024

Generative AI models can automate finding and extracting financial data from documents like 10-Ks, balance sheets, and income statements. FMs can summarize financial statements, highlighting key metrics found through trend analysis and providing insights. Amazon Bedrock analyzes the documents stored in Amazon S3.

APIs 100

APIs Banking Enterprise Metrics 100

AWS Machine Learning

OCTOBER 29, 2024

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. For a detailed breakdown of the features and implementation specifics, refer to the comprehensive documentation in the GitHub repository.

Best practices 112

Best practices Feedback Metrics APIs 112

AWS Machine Learning

NOVEMBER 22, 2023

When a customer has a production-ready intelligent document processing (IDP) workload, we often receive requests for a Well-Architected review. To follow along with this post, you should be familiar with the previous posts in this series ( Part 1 and Part 2 ) and the guidelines in Guidance for Intelligent Document Processing on AWS.

APIs 120

APIs Metrics Benchmark Enterprise 120

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 117

Enterprise Accountability APIs Metrics 117

AWS Machine Learning

DECEMBER 5, 2022

Then we dive into the two key metrics used to evaluate a biometric system’s accuracy: the false match rate (also known as false acceptance rate) and false non-match rate (also known as false rejection rate). We use FMR and FNMR as our two key metrics to evaluate facial biometric systems. False non-match rate.

Metrics 81

Metrics Best practices Banking APIs 81

Babelforce

NOVEMBER 25, 2021

There are plenty of metrics and KPIs you can track to gain useful insight into your contact center operations. With this in mind, here are the ten call center metrics that many experts agree are absolutely vital. Top Ten Call Center Metrics. #1 CSat is a crucial CX metric that gauges how customers truly feel about your service.

Metrics 52

Metrics Call Center Abandon rate Average Handle Time 52

AWS Machine Learning

NOVEMBER 20, 2024

By narrowing down the search space to the most relevant documents or chunks, metadata filtering reduces noise and irrelevant information, enabling the LLM to focus on the most relevant content. This approach narrows down the search space to the most relevant documents or passages, reducing noise and irrelevant information.

Construction 117

Construction APIs Metrics Accountability 117

AWS Machine Learning

SEPTEMBER 20, 2024

Use cases overview Some key use cases for Amazon Q Business for organizations include: Providing grounded responses to employees: An organization can deploy Amazon Q Business on their internal data, documents, products, and services. Improvements in these metrics can indicate productivity gains.

Wireless 100

Wireless Enterprise Chatbots APIs 100

AWS Machine Learning

OCTOBER 23, 2024

For instance, when developing a medical search engine, obtaining a large dataset of real user queries and relevant documents is often infeasible due to privacy concerns surrounding personal health information. These PDFs will serve as the source for generating document chunks.

Metrics 82

Metrics APIs Scripts Engineering 82

PeopleMetrics

APRIL 12, 2017

And that time is quickly fading away, along with once-common practices like writing checks to pay monthly bills and physically signing mortgage application documents. It's easier to sell a metric to leadership if other high-performing institutions are using it. A metric that everyone understands is a metric that everyone can act on.

Metrics 87

Metrics Customer Experience Banking industry standards 87

AWS Machine Learning

SEPTEMBER 25, 2024

In this post, we explore how Amazon Bedrock Knowledge Bases address the use case of numerical analysis across a number of documents. Although this approach holds a lot of promise for textual documents, the presence of non-textual elements, such as tables, pose a significant challenge. This action initiates the workflow.

APIs 122

APIs Call flow Accountability Technology 122

AWS Machine Learning

NOVEMBER 22, 2023

The IDP Well-Architected Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build secure, efficient, and reliable IDP solutions on AWS. This post focuses on the Operational Excellence pillar of the IDP solution.

Best practices 111

Best practices Metrics Feedback Enterprise 111

AWS Machine Learning

APRIL 25, 2024

Government agencies summarize lengthy policy documents and reports to help policymakers strategize and prioritize goals. By creating condensed versions of long, complex documents, summarization technology enables users to focus on the most salient content. This leads to better comprehension and retention of critical information.

Metrics 132

Metrics Benchmark Government Calibration 132

SharpenCX

MAY 6, 2021

Focusing on metrics that impact your customer happiness in the biggest ways helps you find gaps and pains in your customer journey, so you can fix them. 5 Metrics to Understand then Improve Customer Satisfaction for Better ROI . And, keep a close eye on churn data to see how those metrics create (or eliminate) more churn.

Metrics 84

Metrics Agent Empowerment Contact Center Customer effort 84

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 375

Customer Service Chatbots Education Feedback 375

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 128

Chatbots Engineering APIs Technology 128