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 89

Best practices Metrics Sales Benchmark 89

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 121

Metrics Engineering Accountability Benchmark 121

Fonolo

APRIL 14, 2022

The best strategy is to use a combination of data reports and benchmarking to ensure your findings reflect “the big picture” Creating a Customer Service Strategy That Drives Business Growth. NPS is one of the strongest customer service metrics available to a call center. How to Establish a Net Promoter Score Benchmark.

Benchmark 67

Benchmark Call Center Surveys Interactive Voice Response 67

Amity

NOVEMBER 21, 2016

Customer benchmarking — the practice of identifying where a customer can improve or is already doing well by comparing to other customers – helps Customer Success Managers to deliver unique value to their customers. I’ve found that SaaS vendors use seven distinct strategies to empower CSMs with customer benchmarking.

Benchmark 59

Benchmark SaaS Best practices Metrics 59

AWS Machine Learning

JUNE 11, 2024

This post describes how to get started with the software development agent, gives an overview of how the agent works, and discusses its performance on public benchmarks. This is an important metric because our customers want to use the agent to solve real-world problems and we are proud to report a state-of-the-art pass rate.

Benchmark 118

Benchmark Metrics Feedback Personalization 118

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 122

Metrics Benchmark Government Calibration 122

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 111

APIs Metrics Benchmark Enterprise 111

AWS Machine Learning

AUGUST 2, 2024

For more details about how to run graph multi-task learning with GraphStorm, refer to Multi-task Learning in GraphStorm in our documentation. we released a LM+GNN benchmark using the large graph dataset, Microsoft Academic Graph (MAG), on two standard graph ML tasks: node classification and link prediction. Dataset Num. of nodes Num.

APIs 110

APIs Benchmark Construction Enterprise 110

Lumoa

MARCH 24, 2022

Setting survey response rate benchmarks can help you assess the performance and overall growth of your customer experience management (CEM) system. While benchmarking is a common process in many companies, the exact steps and data collected need to be adjusted to each organization’s requirements.

Surveys 78

Surveys Benchmark Metrics Feedback 78

AWS Machine Learning

MAY 9, 2024

Benchmarking and metrics – Defining standardized metrics and benchmarking to measure and compare the performance of AI models, and the business value derived. Setting KPIs and metrics is pivotal to gauge effectiveness. Performance management Setting KPIs and metrics is pivotal to gauge effectiveness.

Government 122

Government Best practices Benchmark Metrics 122

Calltools

AUGUST 19, 2020

This data allows them to bolster those areas to meet or even surpass industry standard call center KPI benchmarks, which is essential for your brand’s reputation. Improving your companies performance requires that you take a proactive approach with these metrics. Customers do not want to explain their issues over and over again.

Benchmark 52

Benchmark Call Center Abandon rate Interactive Voice Response 52

AWS Machine Learning

NOVEMBER 15, 2024

All text-to-image benchmarks are evaluated using Recall@5 ; text-to-text benchmarks are evaluated using NDCG@10. Text-to-text benchmark accuracy is based on BEIR, a dataset focused on out-of-domain retrievals (14 datasets). Generic text-to-image benchmark accuracy is based on Flickr and CoCo. jpg") or doc.endswith(".png"))

Benchmark 97

Benchmark Enterprise Construction Engineering 97

ProProfs Blog

DECEMBER 21, 2020

Reducing customer churn is impossible if you don’t have access to the right insights to analyze and use as a benchmark. Calculating the metrics is simple. Training Documentation. For this, you can start with employee training documentation. That way you can create documentation for commonly searched terms too.

Surveys 148

Surveys Benchmark Feedback Sales 148

Comm100

SEPTEMBER 28, 2022

Live Chat Benchmark Report 2022. Download our annual Live Chat Benchmark Report for free access to the latest live chat data alongside best practices and optimization. Here are some things to look for with this metric: How many chats are agents accepting as opposed to rejecting or passing off to other agents? Click here.

Average Handle Time 97

Average Handle Time Benchmark Wait times Metrics 97

Nicereply

FEBRUARY 1, 2022

Review Your Metrics. Take a look at the metrics you’re currently tracking. If you’re struggling to decide on which metrics to use, we’ve suggested some options here. Geckoboard suggests growing teams must track these five customer support metrics : First Reply Time. Are you happy with your CSAT results

Customer Support 97

Customer Support Metrics Feedback Accountability 97

AWS Machine Learning

OCTOBER 5, 2023

We demonstrate this using an Amazon Comprehend custom classification to build a multi-label custom classification model, and provide guidelines on how to prepare the training dataset and tune the model to meet performance metrics such as accuracy, precision, recall, and F1 score. For Input format , choose One document per line.

Benchmark 114

Benchmark Best practices Metrics Government 114

AWS Machine Learning

AUGUST 3, 2022

Amazon Comprehend is a natural-language processing (NLP) service you can use to automatically extract entities, key phrases, language, sentiments, and other insights from documents. All you need to do is load your dataset of documents and annotations, and use the Amazon Comprehend console, AWS CLI, or APIs to create the model.

Benchmark 69

Benchmark APIs Metrics Scripts 69

SharpenCX

SEPTEMBER 8, 2021

Back in college, I took a summer job that made me use Slack, email, a call center platform, and an internal documentation system simultaneously. Document and define your communication standards and culture in a place where all new and current employees can easily access them. Set Up New Hires on All Technology.

Call Center 128

Call Center Coaching Feedback Contact Center 128

Fonolo

DECEMBER 15, 2022

The Executive Guide to Improving 6 Contact Center Metrics. TIP: Call center scripts should be considered living documents, as they’ll need to be regularly updated to align with new industry trends, department goals, and both agent and customer feedback. Improve the Customer Journey. Involve Your Agents in Strategic Planning.

Call Center 138

Call Center Contact center software Abandon rate Self service 138

HGS

SEPTEMBER 30, 2015

Actively Monitor the Program— By actively monitoring the program once it goes live, contact center team leads ensure they are able to identify trends in metrics that could be related to a lack of tacit knowledge. Call libraries, which are collections of calls representative of ideal service delivery, can also be used.

outsourcing 100

outsourcing Contact Center Management Coaching 100

AWS Machine Learning

MAY 17, 2024

What is Mixtral 8x22B Mixtral 8x22B is Mistral AI’s latest open-weights model and sets a new standard for performance and efficiency of available foundation models , as measured by Mistral AI across standard industry benchmarks. making the model available for exploring, testing, and deploying.

APIs 119

APIs Benchmark Personalization Enterprise 119

Spearline

JULY 21, 2022

Consequently, no other testing solution can provide the range and depth of testing metrics and analytics. And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API. Happy days! You can check framerate information for video here too.

Scripts 98

Scripts APIs Metrics Analytics 98

Totango

DECEMBER 1, 2021

An agile approach to CS management can be broken down into seven steps: Document your client’s requirements. Document Your Client’s Requirements. Effective agile CS starts with clear, documented requirements based on client engagement and input. Standardize your documentation approach by developing a requirements template.

Government 100

Government Journey mapping Accountability Benchmark 100

AWS Machine Learning

APRIL 22, 2024

These include the ability to analyze massive amounts of data, identify patterns, summarize documents, perform translations, correct errors, or answer questions. This involves documenting data lineage, data versioning, automating data processing, and monitoring data management costs.

Best practices 122

Best practices Benchmark Transportation Engineering 122

AWS Machine Learning

JUNE 25, 2024

Model cards – Finally, it’s important for model providers to share information detailing the development process as much as possible; common artifacts to document model development information are model cards (for example, Claude Model Card ) or service cards (for example, Titan Text Service Card ). provide a starting point.

Chatbots 122

Chatbots Benchmark Metrics Healthcare 122

AWS Machine Learning

OCTOBER 2, 2024

Laying the groundwork: Collecting ground truth data The foundation of any successful agent is high-quality ground truth data—the accurate, real-world observations used as reference for benchmarks and evaluating the performance of a model, algorithm, or system. Implement citation mechanisms to reference source documents in responses.

Best practices 92

Best practices APIs Metrics Accountability 92

Totango

JUNE 24, 2022

The digital nature of SaaS customer experience means that success outcomes are defined primarily in terms of digital, measurable key performance indicators, such as product usage metrics. SaaS success outcomes can be defined in terms of measurable digital benchmarks. Onboarding metrics, such as average time-to-value.

Best practices 106

Best practices SaaS Journey mapping B2C 106

aircall

JULY 13, 2018

It’s an official document that clarifies what your provider is committed to delivering and what happens when they don’t. A document like this keeps your phone provider accountable when responding to support requests, fixing bugs, and keeping your service running 24/7. An SLA determines these qualifying metrics.

Service level 90

Service level Technical Support Telecommunications voip 90

aircall

JULY 13, 2018

It’s an official document that clarifies what your provider is committed to delivering and what happens when they don’t. A document like this keeps your phone provider accountable when responding to support requests, fixing bugs, and keeping your service running 24/7. An SLA determines these qualifying metrics.

Service level 90

Service level Technical Support Telecommunications voip 90

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

JUNE 20, 2023

The Carbontracker study estimates that training GPT-3 from scratch may emit up to 85 metric tons of CO2 equivalent, using clusters of specialized hardware accelerators. Therefore, we used common customer-inspired ML use cases for benchmarking and testing. The results are reported in the following sections.

Benchmark 77

Benchmark Engineering Banking Chatbots 77

Totango

MARCH 21, 2023

Finally, delivery happens via varied communication mechanisms such as self-service documentation portals, newsletters, and reviews that come together to make a meaningful impact on both sides of the equation. Don’t forget to make your feedback scalable.

Journey mapping 83

Journey mapping Benchmark Metrics Surveys 83

AWS Machine Learning

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. Define goals and metrics – The function needs to deliver value to the organization in different ways.

Finance 98

Finance Best practices APIs Accountability 98

AWS Machine Learning

AUGUST 26, 2024

This involves benchmarking new models against our current selections across various metrics, running A/B tests, and gradually incorporating high-performing models into our production pipeline. As new models become available on Amazon Bedrock, we have a structured evaluation process in place.

Sales 116

Sales Accountability Feedback Metrics 116

AWS Machine Learning

JANUARY 19, 2024

Another example might be a healthcare provider who uses PLM inference endpoints for clinical document classification, named entity recognition from medical reports, medical chatbots, and patient risk stratification. The performance of the architecture is typically measured using metrics such as validation loss. training.py ).

Metrics 112

Metrics Scripts Benchmark Enterprise 112

AWS Machine Learning

MARCH 3, 2023

We estimated these numbers by running benchmark tests on different dataset sizes from 0.5 The configuration tests include objective metrics such as F1 scores and Precision, and tune algorithm hyperparameters to produce optimal scores for these metrics. MB to 100 MB in size.

Benchmark 82

Benchmark Big data Banking Analytics 82