AWS Machine Learning

MARCH 27, 2025

Lets say the task at hand is to predict the root cause categories (Customer Education, Feature Request, Software Defect, Documentation Improvement, Security Awareness, and Billing Inquiry) for customer support cases. These metrics provide high precision but are limited to specific use cases due to limited ground truth data.

Education 109

Education Engineering APIs Enterprise 109

Callminer

JANUARY 18, 2021

Encourage agents to cheer up callers with more flexible scripting. “A 2014 survey suggested that 69% of customers feel that their call center experience improves when the customer service agent doesn’t sound as though they are reading from a script. They are an easy way to track metrics and discover trends within your agents.

Best practices 226

Best practices Call Center Contact Center Scripts 226

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 94

Scripts Metrics APIs Healthcare 94

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 126

Analytics APIs Engineering Construction 126

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

NOVEMBER 15, 2024

For automatic model evaluation jobs, you can either use built-in datasets across three predefined metrics (accuracy, robustness, toxicity) or bring your own datasets. For early detection, implement custom testing scripts that run toxicity evaluations on new data and model outputs continuously.

APIs 110

APIs Government Best practices Metrics 110

AWS Machine Learning

AUGUST 2, 2024

Investors and analysts closely watch key metrics like revenue growth, earnings per share, margins, cash flow, and projections to assess performance against peers and industry trends. Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time.

Engineering 131

Engineering Scripts Metrics APIs 131

AWS Machine Learning

FEBRUARY 25, 2025

This post shows how to configure an Amazon Q Business custom connector and derive insights by creating a generative AI-powered conversation experience on AWS using Amazon Q Business while using access control lists (ACLs) to restrict access to documents based on user permissions. Who are the data stewards for my proprietary database sources?

Enterprise 96

Enterprise Engineering APIs Accountability 96

OctopusTech

FEBRUARY 6, 2025

In addition to HIPAA compliance, training should also cover emergency protocols, medical terminology , and documentation best practices. One of the ways of establishing clear protocols is to provide standardized scripts that can help agents assess the nature of each call accurately.

Best practices 62

Best practices Healthcare Call Center Interactive Voice Response 62

TeleDirect

APRIL 7, 2025

CRM and ticketing systems Call routing platforms Knowledge bases and internal documentation Troubleshooting procedures 4. Develop a Standardized Training Curriculum Create a comprehensive, easy-to-follow training manual that includes scripts, FAQs, escalation protocols, and examples. healthcare, finance) 5.

Call Center 62

Call Center First call resolution Best practices Gamification 62

AWS Machine Learning

FEBRUARY 12, 2025

We also included a data exploration script to analyze the length of input and output tokens. For demonstration purposes, we select 3,000 samples and split them into train, validation, and test sets. You need to run the Load and prepare the dataset section of the medusa_1_train.ipynb to prepare the dataset for fine-tuning.

Scripts 76

Scripts Metrics Engineering Accountability 76

OctopusTech

FEBRUARY 21, 2025

Call Recording Efficient call center for lawyers integrated automated call recording software to allow teams to document client interactions for compliance, quality assurance , and evidence. With the warm transfer option, the agents can transfer the conversation to the right department even before the potential customer picks up the phone.

Call Center 62

Call Center Interactive Voice Response virtual call center Coaching 62

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

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

AWS Machine Learning

MAY 31, 2024

Training on SageMaker We use PyTorch and Amazon SageMaker script mode to train this model. Script mode’s compatibility with PyTorch was crucial, allowing us to use our existing scripts with minimal modifications. After you have defined your training script, you can configure and submit a SageMaker training job.

Biotechnology 112

Biotechnology Scripts Healthcare APIs 112

AWS Machine Learning

JUNE 17, 2024

Batch transform The batch transform pipeline consists of the following steps: The pipeline implements a data preparation step that retrieves data from a PrestoDB instance (using a data preprocessing script ) and stores the batch data in Amazon Simple Storage Service (Amazon S3). The evaluation step uses the evaluation script as a code entry.

Scripts 121

Scripts Engineering Metrics Big data 121

AWS Machine Learning

AUGUST 24, 2023

SageMaker Profiler provides Python modules for annotating PyTorch or TensorFlow training scripts and activating SageMaker Profiler. You can also use optional custom annotations to add markers in the training script to visualize hardware activities during particular operations in each step. For more information, refer to documentation.

Scripts 97

Scripts Metrics Finance Enterprise 97

Customers That Stick

DECEMBER 15, 2014

Sell, Sell, Sell in the Contact Center With These Three Customer Care Metrics – Three ways to tactfully sell in the contact center. The Longest Lasting Emotions in Customer Experience – Research shows when you make your customers sad, they remember for a long time. See what other customer emotions linger. Photo Credit: [link].

Surveys 126

Surveys Customer Care Scripts Contact Center 126

Callminer

SEPTEMBER 14, 2020

For instance, to improve key call center metrics such as first call resolution , business analysts may recommend implementing speech analytics solutions to improve agent performance management. That requires involvement in process design and improvement, workload planning and metric and KPI analysis. Kirk Chewning. kirkchewning.

Call Center 182

Call Center Analytics First call resolution Metrics 182

Fonolo

DECEMBER 15, 2022

The Executive Guide to Improving 6 Contact Center Metrics. Keep them up to date on new policies, best customer support practices, adjustments to the call center script, and more. As a contact center leader, it’s easy to get caught up in high-level metrics and reports. Improve the Customer Journey.

Call Center 138

Call Center Contact center software Abandon rate Self service 138

AWS Machine Learning

OCTOBER 23, 2023

We use the standard engineered features as input into the interaction encoder and feed the SBERT derived embedding into the query encoder and document encoder. Document encoder – The document encoder processes the information of each job listing. This provides a metric of how attractive a particular job or company might be.

Engineering 118

Engineering Metrics Scripts Construction 118

AWS Machine Learning

MAY 10, 2023

It provides a suite of tools for visualizing training metrics, examining model architectures, exploring embeddings, and more. TensorFlow and PyTorch projects both endorse and use TensorBoard in their official documentation and examples. is your training script, and simple_tensorboard.ipynb launches the SageMaker training job.

Scripts 95

Scripts Metrics Construction APIs 95

AWS Machine Learning

NOVEMBER 10, 2023

Additionally, you need to define which underlying metric fits best for your task and you want to optimize for (such as accuracy, F1 score, or ROC). How does the combination of certain hyperparameter values influence my performance metric? We opted for providing our own Python script and using Scikit-learn as our framework.

Scripts 115

Scripts Metrics Feedback Enterprise 115

AWS Machine Learning

MARCH 20, 2023

Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. To access the code and documentation, refer to the GitHub repo. py scripts for testing. Create a Docker image to deploy the model in SageMaker using the BYOC approach.

Calibration 97

Calibration Scripts Benchmark APIs 97

AWS Machine Learning

JANUARY 10, 2023

From there, we dive into how you can track and understand the metrics and performance of the SageMaker endpoint utilizing Amazon CloudWatch metrics. Metrics to track. Before we can get into load testing, it’s essential to understand what metrics to track to understand the performance breakdown of your SageMaker endpoint.

Best practices 96

Best practices Scripts APIs Metrics 96

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 127

Metrics Scripts Benchmark Enterprise 127

AWS Machine Learning

SEPTEMBER 8, 2023

OpenSearch Service allows you to store vectors and other data types in an index, and offers rich functionality that allows you to search for documents using vectors and measuring the semantical relatedness, which we use in this post. OpenSearch Service is a fully managed service that makes it simple to deploy, scale, and operate OpenSearch.

APIs 123

APIs Scripts Entertainment Personalization 123

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 90

Benchmark APIs Metrics Scripts 90

AWS Machine Learning

JULY 25, 2024

The node recovery agent is a separate component that periodically checks the Prometheus metrics exposed by the node problem detector. Additionally, the node recovery agent will publish Amazon CloudWatch metrics for users to monitor and alert on these events. You can see the CloudWatch NeuronHasError_DMA_ERROR metric has the value 1.

Construction 113

Construction Metrics Scripts Engineering 113

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. Onboarding metrics, such as average time-to-value. Adoption metrics , such as license utilization. Here are five keys to doing it right.

Best practices 109

Best practices SaaS Journey mapping B2C 109

SharpenCX

DECEMBER 2, 2020

Do agents have access to daily performance metrics? Document important aspects of your call center tech, like what platforms need to be open and key steps to use them, as a reference point for agents when they need help. Update outdated policies, call scripts and processes so your agents have the right resources to help your customers.

Call Center 128

Call Center Customer Service Contact Center Metrics 128

AWS Machine Learning

AUGUST 30, 2023

Radiology reports are comprehensive, lengthy documents that describe and interpret the results of a radiological imaging examination. For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization.

Healthcare 134

Healthcare APIs Scripts Metrics 134

AWS Machine Learning

MAY 22, 2023

You can monitor performance metrics such as training and validation loss using Amazon CloudWatch during training. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document. Use Amazon Comprehend to create new products based on understanding the structure of documents.

APIs 110

APIs Scripts Metrics Accountability 110

AWS Machine Learning

SEPTEMBER 26, 2024

Customizable environment – SageMaker HyperPod offers the flexibility to customize your cluster environment using lifecycle scripts. These scripts allow you to install additional frameworks, debugging tools, and optimization libraries tailored to your specific needs. accelerate launch train_stage_1.py py --config configs/train/stage1.yaml

Scripts 119

Scripts APIs Metrics Management 119

AWS Machine Learning

APRIL 19, 2024

Solution overview In this section, we present a generic architecture that is similar to the one we use for our own workloads, which allows elastic deployment of models using efficient auto scaling based on custom metrics. The reverse proxy collects metrics about calls to the service and exposes them via a standard metrics API to Prometheus.

Metrics 124

Metrics APIs Scripts Construction 124

Kayako

MARCH 9, 2017

Creating self-service documentation. Actively creating or managing support documentation for your company can have a big impact on your career as a customer support agent. Documentation is more than just writing, requiring writing skill, technical know-how, and empathy for the customer. You may also have some of your own!

Customer Service 87

Customer Service Engineering Coaching Self service 87

AWS Machine Learning

APRIL 17, 2024

Metrics allow teams to understand workload behavior and optimize resource allocation and utilization, diagnose anomalies, and increase overall infrastructure efficiency. Metrics are exposed to Amazon Managed Service for Prometheus by the neuron-monitor DaemonSet, which deploys a minimal container, with the Neuron tools installed.

APIs 123

APIs Metrics Accountability Management 123