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.

Effort Score 101

Effort Score Metrics Analysis Measurement 101

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 Effort Score NPS Net Promoter Score 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.

Training 85

Training Metrics Analysis Data 85

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.

Metrics 87

Metrics Effort Score User Experience Measurement 87

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.

Knowledge Base 117

Knowledge Base Analytics Tools Data 117

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.

Metrics 75

Metrics Training Healthcare Data 75

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.

Effort Score 86

Effort Score Data Customers How To 86

Experience Investigators by 360Connext

SEPTEMBER 17, 2014

And yet, we are doing our best to only respond to metrics in business. So many companies rely so heavily on metrics they miss what might be a small problem leading to a larger one. And don’t let the metrics lie to you. It is well documented that it costs much more to gain a new customer than to keep an existing one.

Metrics 252

Metrics Customer Experience Social Media Loyalty 252

InMoment XI

NOVEMBER 22, 2024

What User Feedback Metrics Are Essential for a SaaS Company to Track? Net Promoter Score Churn Rate Customer Lifetime Value Retention Rate Customer Satisfaction Score Free-to-Paid Conversion Rate Customer Effort Score Activation Rate Lead Conversion Rate Customer feedback metrics provide data-driven insight into user activity and engagement.

Tools 195

Tools Feedback Effort Score Net Promoter Score 195

AWS Machine Learning

DECEMBER 2, 2024

When a query arises, analysts must engage in a time-consuming process of reaching out to subject matter experts (SMEs) and go through multiple policy documents containing standard operating procedures (SOPs) relevant to the query. They spend hours consulting SMEs and reviewing extensive policy documents.

Knowledge Base 68

Knowledge Base Effort Score Policies Metrics 68

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.

Insurance 80

Insurance Analytics Industry e-support 80

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.

Customer Satisfaction 92

Customer Satisfaction NPS Metrics Net Promoter Score 92

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.

Knowledge Base 123

Knowledge Base Chatbots Metrics Conference 123

ECXO

AUGUST 19, 2024

Research shows that companies leveraging advanced experimentation techniques see significant enhancements in performance metrics, such as a 20% increase in customer satisfaction and higher sales conversion rates. Identify Key Metrics : Determine which performance indicators will measure the success of your experiments.

Customer Journeys 327

Customer Journeys Customer Experience Net Promoter Score Effort Score 327

Ecrion

JULY 1, 2019

Regardless of the size of your business, one thing is certain: you cannot do away without documents. Documentation is integral in any company’s success. And when we talk about documents, using design document templates will make your life easier. In addition, you can also throw in a few metrics that the tasks affected.

Case Study 64

Case Study Social Media Metrics Study 64

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 123

Metrics System Effort Score Knowledge Base 123

Lumoa

MARCH 24, 2022

Benchmarking, in the general sense, is the process of documenting a company’s performance during any given period with the goal of comparing it to another period, often in the future. As you may have deduced already, the survey response rate benchmarking process consists of documenting the performance of your CEM system.

Survey 195

Survey CEM Net Promoter Score Effort Score 195

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.

Training 96

Training Metrics Effort Score Data 96

ECXO

JULY 22, 2024

Strategies to boost adoption include: Interactive Demos and Documentation: Providing detailed documentation and hands-on training sessions. Increasing Annual Recurring Revenue (ARR) For subscription-based B2B companies, ARR is a critical metric. Strategies include: Analytics Tools: Tracking key metrics to gain insights.

B2B 197

B2B Customer Experience Self Service e-support 197

InMoment XI

AUGUST 19, 2024

Customer Experience ROI is a critical metric that measures the financial impact of enhancing customer experiences. These benefits, when translated into financial metrics, help justify investments in these customer experience initiatives. It involves tracking several key metrics that reflect the effectiveness of your CX strategies.

ROI 195

ROI Customer Experience Net Promoter Score Effort Score 195

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.

Financial 117

Financial Groups Chatbots Self Service 117

InMoment XI

JANUARY 10, 2024

These scorecards typically encompass a range of key employee and customer experience KPIs and metrics specific to the agent’s responsibilities. Metrics may include factors like average handling time, first contact resolution, customer satisfaction scores, and adherence to scripts or guidelines.

Contact Center 195

Contact Center Omni-Channel Customer Satisfaction Retail 195

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.

Knowledge Base 76

Knowledge Base Chatbots Metrics Report 76

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.

Training 101

Training Analysis Metrics Data 101

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.

Financial 98

Financial Analysis Trends Report 98

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.

Metrics 108

Metrics User Experience System Customers 108

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.

Policies 105

Policies System Data Metrics 105

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 72

Metrics Comparison System Measurement 72

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.

Employee Experience 93

Employee Experience Knowledge Base Wireless Chatbots 93

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 eBook 87

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.

Knowledge Base 100

Knowledge Base Metrics Feedback Data 100

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.

Culture 99

Culture System Metrics Resources 99

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.

Knowledge Base 111

Knowledge Base Analysis Financial Data 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.

Effort Score 123

Effort Score Metrics Comparison System 123

ProProfs Chat

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 95

Metrics Measurement Customer Success Net Promoter Score 95

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.

Knowledge Base 105

Knowledge Base Tools Policies Innovation 105

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.

Data 73

Data Policies Training Metrics 73