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

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 106

APIs Construction Metrics Education 106

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 120

Analytics APIs Engineering Construction 120

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

OCTOBER 9, 2024

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required. To learn more, see the documentation.

Metrics 83

Metrics APIs Engineering Accountability 83

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 88

APIs Metrics Enterprise Best practices 88

ShepHyken

NOVEMBER 21, 2016

This short article by Chris Preimsberger highlights some of the key findings from the report and gives you a link to download the entire document. While the focus is on sales, it emphasizes that the customer experience, overall, is becoming the key performance metric that cannot be ignored.

Customer Service 299

Customer Service Surveys Marketing Sales 299

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 86

APIs Construction Metrics Engineering 86

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 90

Best practices Metrics Sales Benchmark 90

Callminer

JANUARY 18, 2021

They are an easy way to track metrics and discover trends within your agents. They fall into the same bucket as quality, call control, customer satisfaction, absenteeism and other metrics. They engage in performance management, they set targets, they may even terminate employees for these metrics.” This is short-sighted.

Best practices 226

Best practices Call Center Contact Center Scripts 226

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 124

APIs Chatbots Metrics Education 124

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 Engineering Accountability Benchmark 123

ShepHyken

JANUARY 18, 2022

This could be as simple as a one-page document that gives everybody in the team clarity on what the expectations are. Some metrics may even lead to customer neglect. Thinking about how you can pinpoint which tools will allow you to best serve your customer base is mission-critical for growth-focused companies.

Journey mapping 208

Journey mapping Average Handle Time Feedback Consulting 208

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 122

Chatbots Engineering Enterprise Feedback 122

CX Accelerator

FEBRUARY 6, 2019

I've never focused on this as a metric so I have a couple of questions - 1. How do you metric-ize this? We document difficult cases, start to finish and conclude with what could/should have been done to prevent or avoid the issue all together. So far it is looking great! How do you train for improvements?

Contact Center 206

Contact Center B2C B2B Metrics 206

CCNG

APRIL 20, 2022

For example, a digitized agent coaching system enables team leaders to document their support interactions with agents and simultaneously capture key metrics about every touchpoint relevant to their routine. Analysts can correlate workflow intelligence with desired outcomes such as CSAT, NPS, FCR and other vital metrics.?

Customer Experience 195

Customer Experience CCNG Gamification Analytics 195

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 113

APIs Metrics Benchmark Enterprise 113

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 104

APIs Metrics Accountability Enterprise 104

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 124

Metrics Benchmark Government Calibration 124

The Northridge Group

NOVEMBER 4, 2021

While improving overall metrics is the end goal, coaching to metrics seldom brings sustainable results. Highly effective coaches know that coaching to behaviors is what improves metrics! While the goal is for each associate’s metrics to improve, it is incumbent upon managers to figure out how to tie those goals to behaviors.

Best practices 145

Best practices Coaching contact center associations Contact Center 145

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 105

Best practices Feedback Metrics APIs 105

AWS Machine Learning

MAY 2, 2024

As new embedding models are released with incremental quality improvements, organizations must weigh the potential benefits against the associated costs of upgrading, considering factors like computational resources, data reprocessing, integration efforts, and projected performance gains impacting business metrics.

Benchmark 121

Benchmark Metrics Enterprise APIs 121

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 103

Best practices Metrics Feedback Enterprise 103

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 109

Enterprise Accountability APIs Metrics 109

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 120

Chatbots Engineering APIs Technology 120

CCNG

MARCH 30, 2022

HR was involved with a new cadence of verbal and written warning documents that aligned with this new management strategy. Because there hasn’t been any real coaching or training from the supervisor, the performance metric doesn’t move in a positive direction. If they saw red dots, that meant the work wasn’t completed.

Coaching 195

Coaching CCNG Average Handle Time Contact Center 195

AWS Machine Learning

FEBRUARY 26, 2024

In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda. Overview of solution The first thing to consider is that different metrics require different computation considerations. The function invokes the modules.

Metrics 124

Metrics Big data Analytics Engineering 124

AWS Machine Learning

MARCH 28, 2024

For example, the training data used for BloombergGPT is 51% domain-specific documents, including financial news, filings, and other financial materials. An SEC filing is a financial statement or other formal document submitted to the US Securities and Exchange Commission (SEC). This creates a large number of documents over the years.

Finance 115

Finance Metrics Banking Engineering 115

CCNG

OCTOBER 19, 2022

Marketing Metrics, 2010) Increasing customer retention rates by 5% increases profits anywhere from 25% to 95%. CCMC, 2017) Customer Experience Metrics and Data Learn how to measure Customer Experience 21% of companies have developed their own KPIs to track customer experience. over the last two years, 2.4 IDC, 2022).

Customer Experience 195

Customer Experience Journey mapping Metrics Surveys 195

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 115

APIs Call flow Accountability Technology 115

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 111

Construction APIs Metrics Accountability 111

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 94

Wireless Enterprise APIs Chatbots 94

AWS Machine Learning

SEPTEMBER 27, 2023

Solution overview MDaudit built an intelligent document processing (IDP) solution, SmartScan.ai. Designed with client-level isolation at the document level, MDaudit customers start by uploading their ADR documents via a web portal to Amazon Simple Storage Service (Amazon S3). can process scanned PDFs without manual review.

Healthcare 119

Healthcare Engineering SaaS Analytics 119

CCNG

MAY 27, 2021

Contact Center Leaders are continually being pushed to improve processes, decrease cost, increase customer satisfaction, and improve sales or metrics. A consultant works with you to create requirements documents that assess priorities for both functional and non-functional requirements.

Consulting 195

Consulting Consulting Contact Center Gamification 195