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. How to Establish a Net Promoter Score Benchmark. Benchmarking isn’t just about improving your personal best.

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 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.

APIs 110

APIs Benchmark Enterprise Technology 110

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. On Hugging Face, the Massive Text Embedding Benchmark (MTEB) is provided as a leaderboard for diverse text embedding tasks. It currently provides 129 benchmarking datasets across 8 different tasks on 113 languages.

APIs 121

APIs Benchmark Enterprise Construction 121

AWS Machine Learning

JUNE 6, 2024

You can use this tutorial as a starting point for a variety of chatbot-based solutions for customer service, internal support, and question answering systems based on internal and private documents. This makes the models especially powerful at tasks such as clustering for long documents like legal text or product documentation.

Benchmark 108

Benchmark Enterprise Construction APIs 108

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

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. Wait time should be one of your most important call center KPI benchmarks. Proper documentation is key to preserving your brand’s reputation.

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

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. Lack of standardized benchmarks – There are no widely accepted and standardized benchmarks yet for holistically evaluating different capabilities of RAG systems.

Metrics 121

Metrics Engineering Accountability Benchmark 121

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. We are grateful to the team releasing and maintaining this benchmark. We are proud to be able to share our state-of-the-art results on this benchmark.

Benchmark 118

Benchmark Metrics Feedback Personalization 118

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

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

Callminer

JANUARY 18, 2021

Procedures also document guidelines for notifying managers and leaders or creating action plans if performance falls below a certain level.” The corporate strategy has already been defined and is evident in the Mission Statement, Vision and Values documents.

Best practices 226

Best practices Call Center Contact Center Scripts 226

Totango

NOVEMBER 10, 2020

Outcome success plans focus on capturing mutual objectives, documenting the steps toward achieving them, and sharing information between both clients and your own internal teams—driving interconnectivity and displaying progress through one easily accessed live portal. Document and capture new initiatives as they arise.

Enterprise 122

Enterprise Benchmark Accountability Management 122

Peter Lavers

FEBRUARY 24, 2015

However, I have found a few of the benchmarking models used by technology research companies & marketing professional bodies useful and have produced my own (on basis of 13 years experience in creating & leading such functions).

Best practices 162

Best practices Marketing Benchmark Feedback 162

AWS Machine Learning

AUGUST 13, 2024

The healthcare industry generates and collects a significant amount of unstructured textual data, including clinical documentation such as patient information, medical history, and test results, as well as non-clinical documentation like administrative records. read()) answer = response_body.get("content")[0].get("text")

Healthcare 123

Healthcare APIs Consulting Consulting 123

3CLogic

DECEMBER 17, 2024

As a result, agents can spend less time documenting interaction details and get back to helping the next customer faster. These solutions are setting new benchmarks for customer satisfaction by empowering organizations to solve more issues faster at a lower cost.

Contact Center 98

Contact Center Self service Coaching Benchmark 98

AWS Machine Learning

NOVEMBER 22, 2023

Model choices – SageMaker JumpStart offers a selection of state-of-the-art ML models that consistently rank among the top in industry-recognized HELM benchmarks. For instance, a financial firm might prefer its Q&A bot to source answers from its latest internal documents, ensuring accuracy and compliance with its business rules.

Engineering 111

Engineering Chatbots APIs Benchmark 111

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

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

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. Documentation – Emphasize the documentation of processes, workflows, and best practices within the platform to facilitate knowledge sharing among practitioners and teams.

Government 122

Government Best practices Benchmark Metrics 122

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. Training Documentation. For this, you can start with employee training documentation. That way you can create documentation for commonly searched terms too. Let’s dive in! Analyze and Measure Your Churn.

Surveys 148

Surveys Benchmark Feedback Sales 148

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

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

AWS Inferentia and AWS Trainium for sustainable ML To provide you with realistic numbers of the energy savings potential of AWS Inferentia and AWS Trainium in a real-world application, we have conducted several power draw benchmark experiments. Therefore, we used common customer-inspired ML use cases for benchmarking and testing.

Benchmark 77

Benchmark Engineering Banking Chatbots 77

AWS Machine Learning

JUNE 15, 2023

First, we put the source documents, reference documents, and parallel data training set in an S3 bucket. The source_data folder contains the source documents before the translation; the generated documents after the batch translation are put in the output folder.

APIs 84

APIs Benchmark Best practices Engineering 84

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

AWS Machine Learning

NOVEMBER 21, 2023

Before intelligent applications could be built from embeddings, enterprises and organizations had to embed their existing documents, which can be expensive and technically complicated. It currently provides 129 benchmarking datasets across 8 different tasks on 113 languages.

Benchmark 104

Benchmark Enterprise Management Personalization 104

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

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

DECEMBER 23, 2024

Also, end-user queries are not always aligned semantically to useful information in provided documents, leading to vector search excluding key data points needed to build an accurate answer. The benchmarking process To demonstrate the value of this hybrid method, Lettria conducted extensive benchmarks across datasets from various industries.

Benchmark 118

Benchmark Finance Construction Enterprise 118

The Northridge Group

AUGUST 23, 2022

Data analytics allow us to assess how the internal associates are performing benchmarked against the performance of the outsourcing partner’s associates. Behaviors associated with compliance-related issues: Documenting facts: +19 percentage pts. These KPIs include: Average Handle Time (AHT). First Contact Resolution (FCR).

Healthcare 128

Healthcare Contact Center outsourcing contact center associations 128

AWS Machine Learning

NOVEMBER 30, 2023

You can get guidance on the hardware for best price/performance ratio to deploy your endpoint by running a SageMaker Inference Recommender benchmarking job. To learn more, visit the SageMaker ModelBuilder Python interface documentation and the guided deploy workflows in SageMaker Studio.

Benchmark 120

Benchmark APIs Scripts Engineering 120

AWS Machine Learning

APRIL 24, 2024

The team navigates a large volume of documents and locates the right information to make sure the warehouse design meets the highest standards. We present the reinforcement learning process and the benchmarking results to demonstrate the LLM performance improvement. Question How many car parking spaces do we have?

Engineering 125

Engineering Feedback Construction Analytics 125

Nicereply

FEBRUARY 1, 2022

If your support team doesn’t have any dedicated people keeping your documentation current, now is a great time to do a full review. Examine every existing customer-facing document for accuracy and edit them as needed. Now that you’ve taken a look at your user-facing documentation, check out the internal documents too.

Customer Support 97

Customer Support Metrics Feedback Accountability 97

AWS Machine Learning

NOVEMBER 18, 2024

One of the key considerations while designing the chat assistant was to avoid responses from the default large language model (LLM) trained on generic data and only use the insurance policy documents. The benchmarking results demonstrated unparalleled speed and affordability in its category.

APIs 100

APIs Benchmark Engineering Sales 100