Quality Contact Solutions

JULY 26, 2022

After writing over one thousand call center scripts, we know that there isn’t a single stand-alone ingredient we’d consider the ‘secret sauce’ for creating the perfect script. Instead, scripts are purposeful and serve as a guide to accomplish the objective of the call. No, it doesn’t.

Scripts 98

Scripts Call Center Telemarketing Best practices 98

AWS Machine Learning

JANUARY 24, 2025

In the preceding architecture diagram, AWS WAF is integrated with Amazon API Gateway to filter incoming traffic, blocking unintended requests and protecting applications from threats like SQL injection, cross-site scripting (XSS), and DoS attacks.

APIs 109

APIs Scripts Best practices Management 109

Callminer

AUGUST 1, 2017

Reduced Queue wait time : This can be done by having a strong dialer that can reroute calls to different agent groups. Rerouting the calls to the Campaign B agent group improves efficiency. Interactive agent scripts from Zingtree solve this problem. Bill Dettering. The biggest issue with contact center efficiency is turnover…”.

Contact Center 334

Contact Center Call Center Average Handle Time Real estate 334

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 97

Accountability Best practices Scripts Engineering 97

AWS Machine Learning

NOVEMBER 15, 2024

For early detection, implement custom testing scripts that run toxicity evaluations on new data and model outputs continuously. Integrating scheduled toxicity assessments and custom testing scripts into your development pipeline helps you continuously monitor and adjust model behavior.

APIs 111

APIs Government Best practices Metrics 111

AWS Machine Learning

JULY 11, 2024

This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards. In this blog post, we explore how Agents for Amazon Bedrock can be used to generate customized, organization standards-compliant IaC scripts directly from uploaded architecture diagrams.

Scripts 135

Scripts APIs Engineering industry standards 135

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 122

Scripts Accountability Best practices Engineering 122

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. ” – Brad Beutler, 6 Examples of Using Employee Email as a New Account Based Marketing Channel , Terminus; Twitter: @Terminus.

Best practices 182

Best practices Call Center Outbound sales Telemarketing 182

AWS Machine Learning

JULY 17, 2024

QSI enables insights on your AWS Support datasets across your AWS accounts. First, as illustrated in the Linked Accounts group in Figure 1, this solution supports datasets from linked accounts and aggregates your data using the various APIs, AWS Lambda , and Amazon EventBridge. Test the solution through chat.

Scripts 122

Scripts APIs Enterprise Accountability 122

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. We walk through the following steps: Use SageMaker script mode to bring our own model on top of an AWS-managed container. Solution overview. Find the metric in CloudWatch Logs.

Scripts 91

Scripts Metrics Healthcare Accountability 91

AWS Machine Learning

NOVEMBER 30, 2023

Solution overview To deploy your SageMaker HyperPod, you first prepare your environment by configuring your Amazon Virtual Private Cloud (Amazon VPC) network and security groups, deploying supporting services such as FSx for Lustre in your VPC, and publishing your Slurm lifecycle scripts to an S3 bucket.

Scripts 123

Scripts Engineering Government Management 123

AWS Machine Learning

SEPTEMBER 20, 2023

Prerequisites You should have the following prerequisites: An AWS account. As part of the setup, we define the following: A session object that provides convenience methods within the context of SageMaker and our own account. Our training script uses this location to download and prepare the training data, and then train the model.

Scripts 127

Scripts Engineering Accountability Enterprise 127

Callminer

APRIL 21, 2020

Good scripting can lessen the amount of decision making, but another way to counteract. Contests should be based on a specific metric or group of metrics so they can be easily measured. Leadership Envelopes is an activity that helps groups translate abstract leadership principles into practical on-the-job behaviors.

Call Center 182

Call Center Management Scripts Coaching 182

AWS Machine Learning

APRIL 11, 2023

Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. One important aspect of this foundation is to organize their AWS environment following a multi-account strategy. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs.

APIs 89

APIs Accountability Scripts Enterprise 89

AWS Machine Learning

FEBRUARY 8, 2024

Action groups are a set of APIs and corresponding business logic, whose OpenAPI schema is defined as JSON files stored in Amazon Simple Storage Service (Amazon S3). Each action group can specify one or more API paths, whose business logic is run through the AWS Lambda function associated with the action group.

APIs 140

APIs Scripts Enterprise Management 140

AWS Machine Learning

JULY 25, 2024

A document’s ACL contains information such as the user’s email address and the local groups or federated groups (if Microsoft SharePoint is integrated with an identity provider (IdP) such as Azure Active Directory/Entra ID) that have access to the document.

Scripts 108

Scripts APIs Engineering Enterprise 108

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 120

Scripts Engineering Metrics Best practices 120

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. Minimise language barriers with better hires.

Best practices 226

Best practices Call Center Contact Center Scripts 226

AWS Machine Learning

MARCH 15, 2023

SageMaker runs the legacy script inside a processing container. SageMaker takes your script, copies your data from Amazon Simple Storage Service (Amazon S3), and then pulls a processing container. The SageMaker Processing job sets up your processing image using a Docker container entrypoint script. and postprocessing.py.

Scripts 141

Scripts APIs Engineering Construction 141

AWS Machine Learning

SEPTEMBER 18, 2024

Cluster placement groups for optimized training – Each instance group is launched in a cluster placement group within the same network spine, in order to get the best inter-node latency and maximize bandwidth between nodes. Auto-resume functionality – This is one of the most valuable features of SageMaker HyperPod.

Scripts 114

Scripts Metrics Management Accountability 114

AWS Machine Learning

APRIL 22, 2024

To achieve this multi-user environment, you can take advantage of Linux’s user and group mechanism and statically create multiple users on each instance through lifecycle scripts. With the directory service, you can centrally maintain users and groups, and their permissions.

Scripts 114

Scripts Engineering Management Benchmark 114

AWS Machine Learning

FEBRUARY 29, 2024

The AI platform managed service, built on SageMaker Studio, seamlessly aligns with Deutsche Bahn’s group-wide platform strategy. Solution overview The architecture at Deutsche Bahn consists of a central platform account managed by a platform team responsible for managing infrastructure and operations for SageMaker Studio.

APIs 127

APIs Transportation Construction Analytics 127

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

Zingtree

APRIL 17, 2015

The main benefit is that companies using Zingtree for internal use (like call centers or live agent scripts) now have an option to add and delete agents, have agents log in and get access to scripts, and track each agent’s use of Zingtree. More details: There are now separate account pages for user, organization and agents.

Scripts 48

Scripts Call Center Accountability Management 48

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 122

Scripts Engineering Metrics Big data 122

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 118

Government Benchmark Scripts Enterprise 118

AWS Machine Learning

JULY 25, 2024

This solution is applicable if you’re using managed nodes or self-managed node groups (which use Amazon EC2 Auto Scaling groups ) on Amazon EKS. First, it will mark the affected instance in the relevant Auto Scaling group as unhealthy, which will invoke the Auto Scaling group to stop the instance and launch a replacement.

Construction 113

Construction Metrics Scripts Engineering 113

AWS Machine Learning

FEBRUARY 25, 2025

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. Speak to your Alation account representative for custom purchase options. Choose Store in the last page.

Enterprise 93

Enterprise Engineering APIs Accountability 93

AWS Machine Learning

DECEMBER 21, 2022

Depending on the design of your feature groups and their scale, you can experience training query performance improvements of 10x to 100x by using this new capability. The offline store data is stored in an Amazon Simple Storage Service (Amazon S3) bucket in your AWS account. Creating feature groups using Iceberg table format.

Scripts 92

Scripts Engineering APIs Big data 92

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 114

Scripts Best practices Accountability Engineering 114

AWS Machine Learning

SEPTEMBER 18, 2023

Each stage in the ML workflow is broken into discrete steps, with its own script that takes input and output parameters. Ingesting features into the feature store contains the following steps: Define a feature group and create the feature group in the feature store. See the following code: @ray.remote(num_cpus=0.5)

Scripts 128

Scripts APIs Government Construction 128

AWS Machine Learning

MAY 31, 2023

Now you can change this AMI ID in the CloudFormation script and use the ready-to-use Neuron SDK. We use Amazon ECR to store a custom Docker image containing our scripts and Neuron packages needed to train a model with ECS jobs running on Trn1 instances. docker tag mlp_trainium:latest {your-account-id}.dkr.ecr.us-east-1.amazonaws.com/mlp_trainium:latest

Scripts 100

Scripts Accountability Technology Management 100

AWS Machine Learning

SEPTEMBER 11, 2023

The solution will use Terraform to create: A VPC with subnets, security groups, as well as VPC endpoints to support VPC only mode for the SageMaker Domain. TCP traffic within the security group. Later, the auto-shutdown script will run the s3 cp command to download the extension file from the S3 bucket on Jupyter Server start-ups.

Scripts 122

Scripts APIs Management Best practices 122

AWS Machine Learning

FEBRUARY 1, 2023

Inside the EKS cluster is a node group consisting of two or more trn1.32xlarge Trainium-based instances residing in the same Availability Zone. These images contain the Neuron SDK (excluding the Neuron driver, which runs directly on the Trn1 instances), PyTorch training script, and required dependencies.

Scripts 98

Scripts Benchmark Management Enterprise 98

AWS Machine Learning

JANUARY 13, 2023

Automating the client-server infrastructure to support multiple accounts or virtual private clouds (VPCs) requires VPC peering and efficient communication across VPCs and instances. The tables are de-identified to meet the regulatory requirements US Health Insurance Portability and Accountability Act (HIPAA). patientunitstayid.

Analytics 90

Analytics Healthcare Scripts Accountability 90

AWS Machine Learning

JANUARY 16, 2024

Next, we create custom inference scripts. Within these scripts, we define how the model should be loaded and specify the inference process. With the model artifacts, custom inference scripts and selected DLCs, we’ll create Amazon SageMaker models for PyTorch and Hugging Face respectively. In the custom inference.py

Scripts 129

Scripts Metrics Best practices Accountability 129

AWS Machine Learning

MARCH 27, 2025

The following is the code to parse the output: # This python script parses LLM output into a comma separated list with the SupportID, Category, Reason # Command line is python parse_llm_putput.py Customer: "Is there a way to create custom notification templates for different user groups? 3: print("Command line error parse_llm_output.py

Education 91

Education Engineering APIs Enterprise 91