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. 8: Average Revenue Per Account. #9:

Metrics 142

Metrics Customer retention SaaS Surveys 142

AWS Machine Learning

DECEMBER 7, 2022

This post shows how Amazon SageMaker enables you to not only bring your own model algorithm using script mode, but also use the built-in HPO algorithm. You will learn how to easily output the evaluation metric of choice to Amazon CloudWatch , from which you can extract this metric to guide the automatic HPO algorithm.

Scripts 101

Scripts Metrics Healthcare Accountability 101

AWS Machine Learning

AUGUST 18, 2022

One of the challenges encountered by teams using Amazon Lookout for Metrics is quickly and efficiently connecting it to data visualization. The anomalies are presented individually on the Lookout for Metrics console, each with their own graph, making it difficult to view the set as a whole. Overview of solution.

Metrics 96

Metrics Scripts Accountability Best practices 96

AWS Machine Learning

NOVEMBER 16, 2022

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.

Accountability 98

Accountability Best practices Scripts Engineering 98

AWS Machine Learning

FEBRUARY 12, 2025

Prerequisites To build the solution yourself, there are the following prerequisites: You need an AWS account with an AWS Identity and Access Management (IAM) role that has permissions to manage resources created as part of the solution (for example AmazonSageMakerFullAccess and AmazonS3FullAccess ).

Scripts 80

Scripts Metrics Engineering Accountability 80

AWS Machine Learning

JULY 1, 2024

Additionally, we walk through a Python script that automates the identification of idle endpoints using Amazon CloudWatch metrics. This script automates the process of querying CloudWatch metrics to determine endpoint activity and identifies idle endpoints based on the number of invocations over a specified time period.

Scripts 121

Scripts Metrics Best practices Management 121

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

AUGUST 11, 2022

This post shows you how to use an integrated solution with Amazon Lookout for Metrics and Amazon Kinesis Data Firehose to break these barriers by quickly and easily ingesting streaming data, and subsequently detecting anomalies in the key performance indicators of your interest. You don’t need ML experience to use Lookout for Metrics.

Metrics 98

Metrics APIs Scripts Wireless 98

Callminer

SEPTEMBER 23, 2020

“A good outbound sales script contains a strong connecting statement. ” – Grace Sweeney, 5 Outbound Sales Scripts You Can Adjust on the Fly , Copper; Twitter: @copperinc. Keep metrics in mind and up to date. Unite marketing with sales through an account-based marketing approach for high-quality leads.

Best practices 182

Best practices Call Center Outbound sales Telemarketing 182

AWS Machine Learning

FEBRUARY 29, 2024

You can then iterate on preprocessing, training, and evaluation scripts, as well as configuration choices. framework/createmodel/ – This directory contains a Python script that creates a SageMaker model object based on model artifacts from a SageMaker Pipelines training step. script is used by pipeline_service.py The model_unit.py

Scripts 128

Scripts Engineering Metrics Best practices 128

Tethr

JUNE 1, 2020

Start holding agents accountable for customer experience by aligning agent performance with business outcomes. Traditional QA scorecard criteria doesn’t allow businesses to measure the metrics that matter most. The post Measure the agent performance metrics that matter to your business appeared first on Tethr.

Metrics 72

Metrics Scripts Coaching Accountability 72

AWS Machine Learning

AUGUST 7, 2024

Aligning with AWS multi-account best practices The solution outlined in this post spans across several accounts in a given AWS organization. For a deeper look at the various components required for an AWS organization multi-account enterprise ML environment, see MLOps foundation roadmap for enterprises with Amazon SageMaker.

Government 120

Government Benchmark Scripts Enterprise 120

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). Follow the instructions in the GitHub README.md

Scripts 123

Scripts Engineering Metrics Big data 123

AWS Machine Learning

SEPTEMBER 18, 2024

Reusable scaling scripts for rapid experimentation – HyperPod offers a set of scalable and reusable scripts that simplify the process of launching multiple training runs. The Observability section of this post goes into more detail on which metrics are exported and what the dashboards look like in Amazon Managaed Grafana.

Scripts 119

Scripts Metrics Management Accountability 119

ChurnZero

NOVEMBER 8, 2024

Training took months, and canned responses broke down the moment a customer veered off-script. Whether it’s updating an account, scheduling a meeting, or walking a customer through a complex setup, AI is removing friction from customer interactions. The technology is rigid, often incapable of adapting to real-world, real-time needs.

Scripts 52

Scripts Personalization Metrics Accountability 52

AWS Machine Learning

FEBRUARY 25, 2025

Amazon Q Business only provides metric information that you can use to monitor your data source sync jobs. We recommend running similar scripts only on your own data sources after consulting with the team who manages them, or be sure to follow the terms of service for the sources that youre trying to fetch data from.

Enterprise 108

Enterprise Engineering APIs Accountability 108

AWS Machine Learning

NOVEMBER 9, 2023

Central model registry – Amazon SageMaker Model Registry is set up in a separate AWS account to track model versions generated across the dev and prod environments. Approve the model in SageMaker Model Registry in the central model registry account. Create a pull request to merge the code into the main branch of the GitHub repository.

Scripts 123

Scripts Accountability Best practices Engineering 123

Customers That Stick

OCTOBER 2, 2014

The most challenging people skill to learn and use seems to be replacing defensive reactions with simple accountability. Moreover, some companies have minimized the focus on care and maximized the focus on scripts and metrics — not great for people skills. Why do you think that skill is so challenging?

Coaching 152

Coaching Government Scripts Employee engagement 152

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

Calabrio

APRIL 23, 2025

Interaction recordings, quality scores, adherence metrics, customer sentimentthe list goes on. Too often, performance conversations are informed by siloed spreadsheets and lagging metrics. An increase in agents script adherence that coincides with decreased customer satisfaction. But the real challenge isnt gathering data.

Contact Center 52

Contact Center Coaching Schedule adherence Agent burnout 52

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

SEPTEMBER 16, 2021

How does tone of voice improve call center metrics? There are a few ways tone of voice can improve customer service and positively impact call center metrics: It develops brand loyalty and conveys the values of your company, securing the right type of customers. callcenter #agentinteractions Click To Tweet.

Customer Service 167

Customer Service Call Center Scripts Interactive Voice Response 167

Outsource Consultants

MARCH 18, 2025

In essence, outsourcing allowed the company to scale support capacity quickly without sacrificing quality , and even improve service metrics by dedicating internal experts to the most critical tasks. A study by ContactBabel found that these hidden costs can account for up to 15% of the total outsourcing expense in the first year.

Call Center 67

Call Center outsourcing First call resolution Average Handle Time 67

Balto

JUNE 23, 2022

“The anti-script doesn’t mean that you should wing it on every call… what anti-script means is, think about a physical paper script and an agent who is reading it off word for word… you’re taking the most powerful part of the human out of the human.” Share on Twitter. Share on Facebook.

Scripts 52

Scripts Coaching Contact Center Surveys 52

AWS Machine Learning

JANUARY 8, 2024

The first allows you to run a Python script from any server or instance including a Jupyter notebook; this is the quickest way to get started. In the following sections, we first describe the script solution, followed by the AWS CDK construct solution. The following diagram illustrates the sequence of events within the script.

Scripts 126

Scripts Construction APIs Healthcare 126

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 115

Construction Metrics Scripts Engineering 115

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 133

Metrics Scripts Benchmark Enterprise 133

AWS Machine Learning

MARCH 6, 2024

In the following sections, we go through the steps to prepare your training data, create a training script, and run a SageMaker training job. save_to_disk(test_s3_uri) Create a training script SageMaker script mode allows you to run your custom training code in optimized machine learning (ML) framework containers managed by AWS.

Scripts 129

Scripts Biotechnology Healthcare Accountability 129

AWS Machine Learning

NOVEMBER 20, 2023

During a 1-day workshop, we were able to set up a distributed training configuration based on SageMaker within KT’s AWS account, accelerate KT’s training scripts using the SageMaker Distributed Data Parallel (DDP) library, and even test a training job using two ml.p4d.24xlarge 24xlarge instances. region_name}.amazonaws.com/pytorch-training:2.0.0-gpu-py310-cu118-ubuntu20.04-sagemaker'

Scripts 123

Scripts Finance Telecommunications Enterprise 123

AWS Machine Learning

NOVEMBER 15, 2023

Prerequisites The following are prerequisites for completing the walkthrough in this post: An AWS account Familiarity with SageMaker concepts, such as an Estimator, training job, and HPO job Familiarity with the Amazon SageMaker Python SDK Python programming knowledge Implement the solution The full code is available in the GitHub repo.

Scripts 121

Scripts Best practices Accountability Engineering 121

AWS Machine Learning

MARCH 27, 2025

Where discrete outcomes with labeled data exist, standard ML methods such as precision, recall, or other classic ML metrics can be used. These metrics provide high precision but are limited to specific use cases due to limited ground truth data. If the use case doesnt yield discrete outputs, task-specific metrics are more appropriate.

Education 113

Education Engineering APIs Enterprise 113

Momentum Telecom

FEBRUARY 5, 2025

Accept that you will need to move past basic call metrics Some organizations track basic metrics like total calls or average handle time. How real-time call metrics transform decision-making A successful decision-making process needs actionable data. Here are a few ways real-time call metrics transform decision-making.

Analytics 52

Analytics Abandon Call Abandon rate Call Logging 52

AWS Machine Learning

SEPTEMBER 12, 2023

Solution overview Scalable Capital’s ML infrastructure consists of two AWS accounts: one as an environment for the development stage and the other one for the production stage. To monitor the performance of our deployed model, we implement a feedback loop between CRM and the data scientists to keep track of prediction metrics from the model.

Management 131

Management APIs CRM Metrics 131

AWS Machine Learning

SEPTEMBER 2, 2022

To replicate the results reported in this post, the only prerequisite is an AWS account. In this account, we create an EKS cluster and an Amazon FSx for Lustre file system. We also push container images to an Amazon Elastic Container Registry (Amazon ECR) repository in the account. script in the fsx folder.

Scripts 98

Scripts Metrics Accountability APIs 98

AWS Machine Learning

MAY 10, 2023

It provides a suite of tools for visualizing training metrics, examining model architectures, exploring embeddings, and more. Solution overview A typical training job for deep learning in SageMaker consists of two main steps: preparing a training script and configuring a SageMaker training job launcher. x_test / 255.0 x_test / 255.0

Scripts 98

Scripts Metrics Construction APIs 98

Interaction Metrics

APRIL 24, 2025

Introduced by Matt Dixon and Corporate Executive Board (CEB) in 2010, CES is now a core metric in many customer experience programs. Interaction Metrics is a leading survey company. Weve seen how strategically measuring your customer effort score can reveal moments of struggle that other metrics miss. One question. One number.

Customer effort 48

Customer effort Metrics Surveys Self service 48

Callminer

JUNE 3, 2019

It also removes the potential for any internal bias, offering both agents and managers the peace-of-mind they need to ensure they’re holding each other accountable. The problem: Agents are at the frontline when it comes to customer experience – and so their performance plays a huge factor in company metrics.

Best practices 140

Best practices Average Handle Time Coaching Analytics 140