2012, Accountability and Scripts - Customer Contact Central

Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

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

Scripts Accountability Best practices Engineering

Build a cross-account MLOps workflow using the Amazon SageMaker model registry

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

Accountability Best practices Scripts Engineering

Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

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.

Scripts

Scripts APIs Engineering Construction

AWS Transcribe With Nexmo Voice Using PHP

Nexmo

FEBRUARY 14, 2020

In this tutorial, we’ll use a Nexmo Voice number to create a callback script that interacts with a caller to prompt for a voice message. Nexmo account. AWS account. You’ll need an AWS account, as well as IAM credentials associated with a user who has access to Amazon Transcribe and AWS S3. preferred).

Scripts

Scripts Accountability APIs Management

The Case For the Anti-Script: A Multifactor Analysis of Script Adherence

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

Scripts Coaching Contact Center Surveys

Schedule your notebooks from any JupyterLab environment using the Amazon SageMaker JupyterLab extension

AWS Machine Learning

MAY 10, 2023

Migrating from interactive development on notebooks to batch jobs required you to copy code snippets from the notebook into a script, package the script with all its dependencies into a container, and schedule the container to run. In the following section, we show an example of using initialization scripts to install packages.

Scripts

Scripts Automotive Engineering Enterprise

Machine learning with decentralized training data using federated learning on Amazon SageMaker

AWS Machine Learning

AUGUST 22, 2023

However, sometimes due to security and privacy regulations within or across organizations, the data is decentralized across multiple accounts or in different Regions and it can’t be centralized into one account or across Regions. Each account or Region has its own training instances.

Scripts

Scripts Accountability Transportation Benchmark

Securing MLflow in AWS: Fine-grained access control with AWS native services

AWS Machine Learning

MAY 8, 2023

How to use MLflow as a centralized repository in a multi-account setup. Prerequisites Before deploying the solution, make sure you have access to an AWS account with admin permissions. You can use this script add_users_and_groups.py How to extend Studio to enhance the user experience by rendering MLflow within Studio.

APIs

APIs Government Accountability Scripts

Use Amazon SageMaker Studio with a custom file system in Amazon EFS

AWS Machine Learning

OCTOBER 17, 2024

The data science team can, for example, use the shared EFS directory to store their Jupyter notebooks, analysis scripts, and other project-related files. Refer to Creating a trail for your AWS account for additional information. Refer to Quick setup to Amazon SageMaker for instructions to set up a domain with default settings.

Government

Government Accountability APIs Engineering

Scale ML workflows with Amazon SageMaker Studio and Amazon SageMaker HyperPod

AWS Machine Learning

DECEMBER 4, 2024

When you activate Run As support, it prevents Session Manager from starting sessions using the ssm-user account on a managed node. Use the following script to create the domain and replace the export variables accordingly. The POSIX user is the user that is set up on the Slurm head node. Don’t specify any user name.

Scripts

Scripts Engineering Management Metrics

Deep demand forecasting with Amazon SageMaker

AWS Machine Learning

JUNE 28, 2022

The input data is a multi-variate time series that includes hourly electricity consumption of 321 users from 2012–2014. To try out the solution in your own account, make sure that you have the following in place: An AWS account to use this solution. If you don’t have an account, you can sign up for one.

Metrics

Metrics Healthcare Transportation Accountability

Integrate HyperPod clusters with Active Directory for seamless multi-user login

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. Create a VPC, subnets, and a security group Follow the instructions in the Own Account section of the HyperPod workshop. strip(), pysss.password().AES_256))"

Scripts

Scripts Engineering Management Benchmark

Apply fine-grained data access controls with AWS Lake Formation and Amazon EMR from Amazon SageMaker Studio

AWS Machine Learning

NOVEMBER 23, 2022

Before you get started, make sure you have the following prerequisites: An AWS account. Complete the following steps: Download the bootstrap script from s3://emr-data-access-control- /customer-bootstrap-actions/gcsc/replace-rpms.sh , replacing region with your region. Upload both files to an S3 bucket in your account and region.

Scripts

Scripts APIs Engineering Sales

Separate lines of business or teams with multiple Amazon SageMaker domains

AWS Machine Learning

DECEMBER 1, 2022

Administrators can now provision multiple SageMaker domains in order to separate different lines of business or teams within a single AWS account. However, if you want to update existing resources to facilitate resource isolation, administrations can use the add-tag SageMaker API call in a script. experiments=`aws --region $REGION.

APIs

APIs Engineering Scripts Accountability

Build high-performance ML models using PyTorch 2.0 on AWS – Part 1

AWS Machine Learning

JUNE 6, 2023

Run your DLC container with a model training script to fine-tune the RoBERTa model. After model training is complete, package the saved model, inference scripts, and a few metadata files into a tar file that SageMaker inference can use and upload the model package to an Amazon Simple Storage Service (Amazon S3) bucket.

Scripts

Scripts APIs Benchmark Management

Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

AWS Machine Learning

AUGUST 17, 2023

Option B: Use a SageMaker Processing job with Spark In this option, we use a SageMaker Processing job with a Spark script to load the original dataset from Amazon Redshift, perform feature engineering, and ingest the data into SageMaker Feature Store. The environment preparation process may take some time to complete.

APIs

APIs Engineering Scripts Analytics

Contact Center Industry Stats – Contact Center Channels

Taylor Reach Group

JUNE 11, 2018

Phone is expected to account for 47% of contacts in 2019 compared to 64% in 2017 (Deloitte). Call Scripting: More Contact Centers Are Using Call Scripting: While Contact Centers are often encouraged to give advisors more freedom on the phone, there has been a contradictory increase in those using call scripting.

Contact Center

Contact Center Self service Scripts Call Center

Use the Amazon SageMaker and Salesforce Data Cloud integration to power your Salesforce apps with AI/ML

AWS Machine Learning

AUGUST 4, 2023

The following steps give an overview of how to use the new capabilities launched in SageMaker for Salesforce to enable the overall integration: Set up the Amazon SageMaker Studio domain and OAuth between Salesforce and the AWS account s. Enter the following script in the editor, providing the ARN for the secret you created earlier: #!/bin/bash

APIs

APIs Scripts Management Accountability

Customer Service in the Digital Age

CSM Magazine

JUNE 12, 2020

The IMA’s Statement on Management Accounting (SMA) Value Chain Analysis for Assessing Competitive Advantage (issued in March 1996) states, “The value chain approach for assessing competitive advantage is an integral part of the strategic planning process. Retailing 2020:Winning in a Polarized World (2012). Pricewaterhouse Coopers, LLP.[link]

Customer Service

Customer Service Omni-channel support Virtual Agent Chatbots

Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools

AWS Machine Learning

DECEMBER 14, 2023

This setup enables you to centrally store notebooks, scripts, and other project files, accessible across all your SageMaker Studio sessions and instances. It’s also important to note that these EBS volumes are hosted within the service account, so you won’t have direct visibility.

APIs

APIs Engineering Management Scripts

Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

AWS Machine Learning

APRIL 16, 2024

Creating Snowflake accounts, databases, and warehouses falls outside the scope of this post. Create a Secrets Manager secret You can connect to your Snowflake account by either using a user ID and password or using private keys. or later image versions. If you don’t see your data source listed, choose Refresh to update the cache.

Airlines

Airlines Management Engineering Accountability

Use a custom image to bring your own development environment to RStudio on Amazon SageMaker

AWS Machine Learning

JUNE 29, 2022

Also note that only one SageMaker domain is permitted per AWS Region, so you’ll need to use an AWS account and Region that doesn’t have an existing domain. Version":"2012-10-17", "Statement":[. { "Sid": "VisualEditor0", "Effect":"Allow", "Action":[. You can use the sample script create-and-update-image.sh. Choose Launch Stack.

Analytics

Analytics Scripts Management Engineering

10 Contact Center Management Mistakes & Best Practice Tips to Fix Them!

Comm100

OCTOBER 30, 2017

Free Download] 120+ Ready-to-Use Live Chat Scripts for Both Sales and Customer Service. The downloadable contains scripts for all kinds of scenarios, ranging from greetings to collecting personal information, and can help your live chat team deliver more efficient, quality support immediately.

Best practices

Best practices Contact Center Management outsourcing

25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

AUGUST 1, 2017

Source: Human Resource Management; Issue: 51(4); 2012; Pages 535-548. Bill Dettering is the CEO and Founder of Zingtree , a SaaS solution for building interactive decision trees and agent scripts for contact centers (and many other industries). Interactive agent scripts from Zingtree solve this problem. Bill Dettering.

Contact Center

Contact Center Call Center Average Handle Time Real estate

Get smarter search results with the Amazon Kendra Intelligent Ranking and OpenSearch plugin

AWS Machine Learning

JANUARY 9, 2023

For this tutorial, you’ll need a bash terminal on Linux , Mac , or Windows Subsystem for Linux , and an AWS account. Create and start OpenSearch using the Quickstart script. script: wget [link] chmod +x search_processing_kendra_quickstart.sh. script: wget [link] chmod +x search_processing_kendra_quickstart.sh.

Scripts

Scripts APIs Engineering Transportation

Contact Center Trends 2021: The CX Watershed

Fonolo

NOVEMBER 17, 2020

More and more, customers simply want to solve inquires on their own – especially for simple questions like “what’s the balance on my account.” A properly scripted menu leads customers to the answers they need, provides them with the opportunity to navigate to a live agent, and decreases the overall call volume that reaches the call center.

Contact Center

Contact Center Gamification Call Center Average Handle Time

Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support

AWS Machine Learning

APRIL 23, 2024

Prerequisites To use Local Mode in SageMaker Studio applications, you must complete the following prerequisites: For pulling images from Amazon Elastic Container Registry (Amazon ECR), the account hosting the ECR image must provide access permission to the user’s Identity and Access Management (IAM) role.

Scripts

Scripts Engineering APIs Feedback

Customer Contact Central

Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

Build a cross-account MLOps workflow using the Amazon SageMaker model registry

Trending Sources

Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

AWS Transcribe With Nexmo Voice Using PHP

The Case For the Anti-Script: A Multifactor Analysis of Script Adherence

Schedule your notebooks from any JupyterLab environment using the Amazon SageMaker JupyterLab extension

Machine learning with decentralized training data using federated learning on Amazon SageMaker

Securing MLflow in AWS: Fine-grained access control with AWS native services

Use Amazon SageMaker Studio with a custom file system in Amazon EFS

Scale ML workflows with Amazon SageMaker Studio and Amazon SageMaker HyperPod

Deep demand forecasting with Amazon SageMaker

Integrate HyperPod clusters with Active Directory for seamless multi-user login

Apply fine-grained data access controls with AWS Lake Formation and Amazon EMR from Amazon SageMaker Studio

Separate lines of business or teams with multiple Amazon SageMaker domains

Build high-performance ML models using PyTorch 2.0 on AWS – Part 1

Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

Contact Center Industry Stats – Contact Center Channels

Use the Amazon SageMaker and Salesforce Data Cloud integration to power your Salesforce apps with AI/ML

Customer Service in the Digital Age

Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools

Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

Use a custom image to bring your own development environment to RStudio on Amazon SageMaker

10 Contact Center Management Mistakes & Best Practice Tips to Fix Them!

25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Get smarter search results with the Amazon Kendra Intelligent Ranking and OpenSearch plugin

Contact Center Trends 2021: The CX Watershed

Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support

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