Callminer

JANUARY 18, 2021

Take advantage of this phenomenon by constructing your scripts to promote positive responses.” They are an easy way to track metrics and discover trends within your agents. “The nature of a call center operator’s job is very sensitive, as there is account information available every time they assist a customer.

Best practices 226

Best practices Call Center Contact Center Scripts 226

Talkdesk

AUGUST 12, 2015

You now have the same construct, but it is far more complex to measure. Changing the way AHT is measured to accommodate communication via social media allows the call center to continue using known metrics for conversations and reporting, but will enhance the accuracy of the data. Enter social media. FCR – First Contact Resolution.

Call Center 72

Call Center Metrics Average Handle Time Surveys 72

AWS Machine Learning

SEPTEMBER 8, 2023

The implementation used in this post utilizes the Amazon Textract IDP CDK constructs – AWS Cloud Development Kit (CDK) components to define infrastructure for Intelligent Document Processing (IDP) workflows – which allow you to build use case specific customizable IDP workflows.

Construction 130

Construction Metrics Best practices APIs 130

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. The following diagram illustrates the solution architecture and workflow.

Construction 112

Construction Metrics Scripts Engineering 112

AWS Machine Learning

OCTOBER 2, 2024

Provide control through transparency of models, guardrails, and costs using metrics, logs, and traces The control pillar of the generative AI framework focuses on observability, cost management, and governance, making sure enterprises can deploy and operate their generative AI solutions securely and efficiently.

Government 127

Government APIs Enterprise Best practices 127

AWS Machine Learning

JANUARY 28, 2025

Thanks to this construct, you can evaluate any LLM by configuring the model runner according to your model. Evaluation algorithm Computes evaluation metrics to model outputs. Different algorithms have different metrics to be specified. For example, spider plots are often used to make visual comparison across multiple metrics.

Management 113

Management APIs Engineering Metrics 113

AWS Machine Learning

NOVEMBER 6, 2023

In our use case, a financial institution wants to extract the following fields from a check: payee name, payer name, account number, routing number, payment amount (in numbers), payment amount (in words), check number, date, and memo. What is the account#? What is the account name/payer/drawer name? Who is the payee?

APIs 126

APIs Best practices Banking Accountability 126

Callminer

JULY 23, 2019

Lack of Confidence: Some managers are great at meeting metrics and making schedules. Tools like interaction analytics can help call center managers identify relevant issues and deliver precise, targeted feedback to agents and have a more direct impact on metrics like call handling time. Don’t forget the basics.

Best practices 140

Best practices Feedback Call Center Coaching 140

Customer Relationship Metrics

JULY 26, 2017

Ownership over Accountability. When your focus is on how to hold people accountable, it takes your focus off an important question: “Why do we need to hold people accountable in the first place?”. She states that if you believe people need to be held accountable, what is YOUR underlying belief? Why is that? Ownership.

Contact Center 211

Contact Center Calibration Construction Customer centricity 211

AWS Machine Learning

MAY 7, 2024

Generative AI CDK Constructs , an open-source extension of AWS CDK, provides well-architected multi-service patterns to quickly and efficiently create repeatable infrastructure required for generative AI projects on AWS. Prerequisites To follow along with this post, you should have the following prerequisites: Python version greater than 3.9

Construction 130

Construction Engineering Enterprise Analytics 130

Totango

FEBRUARY 12, 2025

For enterprises, a well-constructed customer health score isnt just a nice-to-have; its a strategic asset that empowers teams to manage complexity, sustain customer satisfaction, and scale their customer success efforts. The enterprise solution Large customer accounts often have layered needs.

Enterprise 62

Enterprise Metrics Accountability Construction 62

AWS Machine Learning

MAY 8, 2024

You can also fetch these metrics and analyze them using TrainingJobAnalytics : df = TrainingJobAnalytics(training_job_name=training_job_name).dataframe() dataframe() #It will produce a dataframe with different metrics df.head(10) The following graph shows different metrics collected from the CloudWatch log using TrainingJobAnalytics.

Metrics 121

Metrics Construction APIs Accountability 121

AWS Machine Learning

JUNE 9, 2023

With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems.

Enterprise 103

Enterprise Construction Engineering Metrics 103

AWS Machine Learning

MAY 30, 2024

The company’s Data & Analytics team regularly receives client requests for unique reports, metrics, or insights, which require custom development. Business metadata can be constructed using services like Amazon DataZone. Similarly, Amazon Bedrock metrics are available by navigating to Metrics , Bedrock on the CloudWatch console.

Real estate 127

Real estate APIs Metrics Construction 127

AWS Machine Learning

AUGUST 10, 2023

As recommended by AWS as a best practice , customers have used separate accounts to simplify policy management for users and isolate resources by workloads and account. SageMaker services, such as Processing, Training, and Hosting, collect metrics and logs from the running instances and push them to users’ Amazon CloudWatch accounts.

Scripts 98

Scripts Accountability Metrics Best practices 98

AWS Machine Learning

AUGUST 2, 2024

With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems.

APIs 116

APIs Benchmark Construction Enterprise 116

AWS Machine Learning

AUGUST 11, 2022

For example, in some e-commerce platforms, account registration is wide open. Fraudsters can behave maliciously just once with an account and never use the same account again. Additionally, it’s challenging to construct a streaming data pipeline that can feed incoming events to a GNN real-time serving API.

Construction 98

Construction APIs Accountability Scripts 98

AWS Machine Learning

JANUARY 6, 2025

Prerequisites You should have the following prerequisites: An AWS account A SageMaker notebook instance An S3 bucket to store the input data Process the data To start, upload the log dataset to an S3 bucket in your AWS account. For this, you should print your desired metrics in your training script using a logger or print function.

Scripts 109

Scripts Metrics Construction Accountability 109

AWS Machine Learning

JANUARY 8, 2024

The second approach is a turnkey deployment of various infrastructure components using AWS Cloud Development Kit (AWS CDK) constructs. The AWS CDK construct provides a resilient and flexible framework to process your documents and build an end-to-end IDP pipeline. Now on to our second solution for documents at scale.

Scripts 122

Scripts Construction APIs Healthcare 122

Customer Service Life

AUGUST 22, 2019

Let’s first look at the three most popular customer survey metrics and how they’re measured and then I’ll share a way to approach the results more holistically. We found that many of our clients track this metric but few give any visibility to the contact center or hold them directly accountable. Customer Satisfaction (CSAT).

Contact Center 107

Contact Center Metrics Surveys Coaching 107

AWS Machine Learning

SEPTEMBER 11, 2024

It offers an AWS CloudFormation template for straightforward deployment in an AWS account. The application, once deployed, constructs an ML model using the Random Cut Forest (RCF) algorithm. The template creates the essential resources like the Apache Flink application and Amazon SageMaker real-time endpoint in the customer account.

Management 114

Management Metrics Construction Sales 114

AWS Machine Learning

JULY 29, 2022

Customer satisfaction is a potent metric that directly influences the profitability of an organization. Reviewing the Account Balance chatbot. As an example, this demo deploys a bot to perform three automated tasks, or intents : Check Balance , Transfer Funds , and Open Account. Account Type. Deploying the solution.

Contact Center 131

Contact Center Interactive Voice Response Self service Accountability 131

Lumoa

FEBRUARY 9, 2023

software bug fixes, wrong information corrected on the website) Product development decisions : reprioritizing things on the product development roadmap taking the feedback into account (e.g. more friendly behavior in customer service) Marketing to take the info into account in better targeting (e.g. Wondering which metric to choose?

Customer Experience 167

Customer Experience B2C Journey mapping B2B 167

ProProfs Blog

MARCH 18, 2020

What if you need more constructive feedback to make things better for your customers? Accordingly, customer satisfaction metrics are important business assets that show how happy your customers are with the products or services that you provide. . Define the relevant customer satisfaction metrics for your business .

Surveys 145

Surveys Metrics Feedback Best practices 145

AWS Machine Learning

JANUARY 19, 2024

The goal of NAS is to find the optimal architecture for a given problem by searching over a large set of candidate architectures using techniques such as gradient-free optimization or by optimizing the desired metrics. The performance of the architecture is typically measured using metrics such as validation loss. Choose Request.

Metrics 129

Metrics Scripts Benchmark Enterprise 129

Kayako

JULY 22, 2022

The reason is that customer service impacts the satisfaction metrics that influence customer perception, too. Perception involves three psychological constructs: sensing, organizing, and reacting. What factors should companies take into account? Customer perception is directly tied to the bottom line. Net Promoter Score (NPS).

Metrics 112

Metrics Customer effort Feedback Construction 112

AWS Machine Learning

SEPTEMBER 6, 2024

Understanding the intrinsic value of data network effects, Vidmob constructed a product and operational system architecture designed to be the industry’s most comprehensive RLHF solution for marketing creatives. Aperture – Important aspects to take into account for a user question.

Analytics 121

Analytics Metrics Chatbots Engineering 121

ChurnZero

FEBRUARY 14, 2023

Some Customer Success metrics are considered standard but there’s often more than meets the eye. SaaS professionals who geek out on metrics can find themselves in deep philosophical debates about the best numbers to track. That nuance is derived from three underlying factors: Construct.

SaaS 52

SaaS Metrics Customer retention Construction 52

ViiBE Blog

AUGUST 25, 2021

Automotive , Construction , Energy , Insurance , Retail , SMB , Transport. This third most popular customer satisfaction metric measures how much effort a customer has to put into using the company’s services or buying its products. ViiBE Blog. How can you measure customer satisfaction? CRM , Customer experience. Natalia Barszcz.

Automotive 98

Automotive Brand ambassadors Transportation Construction 98

AWS Machine Learning

JULY 31, 2023

Visualization and metrics – Visualize the 3D structure with the py3Dmol library as an interactive 3D visualization. A single inference run is divided into two steps: an MSA construction step using an optimal CPU instance and a structure prediction step using a GPU instance. Second, we construct the script run_alphafold.sh

Scripts 98

Scripts Construction Metrics Management 98

AWS Machine Learning

JULY 23, 2024

One risk many organizations face is the inadvertent exposure of sensitive data through logs, voice chat transcripts, and metrics. For example, you may have the following data types: Name Address Phone number Email address Account number Email address and physical mailing address are often considered a medium classification level.

Accountability 120

Accountability Government Chatbots Best practices 120

AWS Machine Learning

JULY 13, 2023

xlarge ml.m5.2xlarge Data set MNIST (Labeled images) Direct Marketing (tabular, numeric and vectorized categories) Validation metric Accuracy AUC Epocs/Rounds 20 150 Number of Instances 1 4 1 3 Distribution type N/A Parameter server N/A AllReduce Training time (minutes) 8 3 3 1 Final Validation score 0.97 max_depth – Maximum depth of a tree.

Metrics 96

Metrics Construction Best practices APIs 96

AWS Machine Learning

MARCH 28, 2024

The primary limitation of TACP lies in constructing task-specific LLMs instead of foundation LLMs, owing to the sole use of unlabeled task data for training. The former is done by first ranking the financial corpus by corresponding metrics and then selecting the top-k samples, where k is predetermined according to the training budget.

Finance 126

Finance Metrics Banking Engineering 126

AWS Machine Learning

MAY 10, 2023

It provides a suite of tools for visualizing training metrics, examining model architectures, exploring embeddings, and more. Prerequisites To start using SageMaker with TensorBoard, you need to set up a SageMaker domain with an Amazon VPC under an AWS account. x_test / 255.0 x_test / 255.0 x_test / 255.0 session.Session().region_name

Scripts 98

Scripts Metrics Construction APIs 98

AWS Machine Learning

FEBRUARY 6, 2024

BERT is trained on sequences where some of the words in a sentence are masked, and it has to fill in those words taking into account both the words before and after the masked words. Training metrics were captured though the Amazon SageMaker Experiments tool, and each training job ran through 10 epochs. BioBERT with HPO 0.89

Healthcare 132

Healthcare Engineering Consulting Consulting 132

AWS Machine Learning

AUGUST 30, 2023

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. This metric compares an automatically produced summary against a reference or a set of references (human-produced) summary or translation.

Healthcare 132

Healthcare APIs Scripts Metrics 132

Hodusoft

AUGUST 2, 2023

Cost Per Call : A Key Metric for Your Contact Center Have you ever wondered how much money you spend to handle a single call? Cost per call is one of the most important metrics for contact centers. It’s a metric that’s used to determine the budget allocation for each call.

Contact Center 52

Contact Center Metrics Contact center software Interactive Voice Response 52