AWS Machine Learning

NOVEMBER 14, 2024

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. For multiple accounts, assign mandatory tags to each one, identifying its purpose and the owner responsible.

Government 96

Government Best practices Accountability APIs 96

HelpCrunch

FEBRUARY 12, 2021

You chat with a customer explaining how to upgrade their account and another pile of tickets keeps landing in your inbox. The post 62 Useful Live Chat Script Examples for Your Support and Sales appeared first on HelpCrunch blog. Imagine your most hectic day. No need to pull your hair out. A well-thought-out [ … ].

Scripts 118

Scripts Sales Accountability 118

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 93

Accountability Best practices Scripts Engineering 93

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

SharpenCX

MAY 26, 2021

It was the small business feel that kept accounts with Dunder Mifflin. Stiff scripts and robotic conversations don’t give your customers the warm fuzzies. Research shows making agents adhere to rigid customer service scripts is a leading source of customer frustration. . The script to kick off any interaction.

Scripts 67

Scripts Customer Service Contact Center Finance 67

AWS Machine Learning

OCTOBER 31, 2024

This solution showcases how to bridge the gap between Google Workspace and AWS services, offering a practical approach to enhancing employee efficiency through conversational AI. In the following sections, we explain how to deploy this architecture. A Business or Enterprise Google Workspace account with access to Google Chat.

APIs 123

APIs Scripts Accountability Construction 123

Integrity Solutions

SEPTEMBER 23, 2024

Sales enablement has become an integral component of the modern sales organization, yet there is still confusion around what sales enablement actually is and, crucially, how to really make it deliver results for your salespeople and your business.

Sales 103

Sales Coaching Telecommunications Accountability 103

AWS Machine Learning

APRIL 11, 2023

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. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs.

APIs 81

APIs Accountability Scripts Enterprise 81

Steve DiGioia

SEPTEMBER 12, 2016

Read this script and memorize each line. They must follow a script – not “scripted” words but scripted actions designed to produce the best product or service. Clear, well defined expectations and a willingness to hold others accountable must be the guide we follow. What makes him tick? Let’s do it again.

Management 214

Management Scripts Coaching Accountability 214

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 85

Scripts Metrics Healthcare Accountability 85

Call Experts

APRIL 1, 2021

A Contact center depends on outstanding scripts, team-members, automations, training, and protocols. . What is a contact center script? It’s a file that plainly and concisely lays out how contact center representatives and technologies are expected to manage your callers. It all starts with your contact center script!

Scripts 59

Scripts Contact Center Call Center Best practices 59

AWS Machine Learning

JULY 17, 2024

This post shows how to use AWS generative artificial intelligence (AI) services , like Amazon Q Business , with AWS Support cases, AWS Trusted Advisor , and AWS Health data to derive actionable insights based on common patterns, issues, and resolutions while using the AWS recommendations and best practices enabled by support data.

Scripts 118

Scripts APIs Enterprise Accountability 118

Beyond Philosophy

OCTOBER 28, 2014

If your system dictates certain ways of doing things, your choice affects how the Customer feels about your organization. Let’s say your IT system requires getting your email address for every customer to access the details of the account. How are they going to use it? In many cases, they will also use a Call Center script.

Customer Experience 341

Customer Experience Scripts Customer centricity Consulting 341

AWS Machine Learning

NOVEMBER 14, 2024

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

Government 89

Government Management APIs Accountability 89

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

AWS Machine Learning

AUGUST 5, 2024

This post demonstrates how to seamlessly automate the deployment of an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation , enabling organizations to quickly and effortlessly set up a powerful RAG system. After the script is complete, note the S3 URL of the main-template-out.yml.

Scripts 125

Scripts Accountability Education Feedback 125

CSM Magazine

SEPTEMBER 18, 2024

Get to know how to deal with these problems effectively to enhance the performance of your help desk department and improve overall customer satisfaction. Importance of Call Centers in Customer Service and How to Solve Problems and Avoid Them Your call center is the frontline of your customer service.

Call Center 52

Call Center Morale Scripts First call resolution 52

AWS Machine Learning

OCTOBER 28, 2024

A preprocessor script is a capability of SageMaker Model Monitor to preprocess SageMaker endpoint data capture before creating metrics for model quality. However, even with a preprocessor script, you still face a mismatch in the designed behavior of SageMaker Model Monitor, which expects one inference payload per request.

Scripts 105

Scripts Metrics Engineering Analytics 105

NobelBiz

DECEMBER 8, 2020

The first step toward running a successful campaign starts with creating a good outbound call script. The purpose behind outbound call scripts No matter who your prospects really are, one thing is certain. Hence the need for an outbound call script that follows certain golden rules. They will always impose a time limit.

Scripts 52

Scripts B2C Morale Sales 52

Beyond Philosophy

OCTOBER 28, 2014

If your system dictates certain ways of doing things, your choice affects how the Customer feels about your organization. Let’s say your IT system requires getting your email address for every customer to access the details of the account. How are they going to use it? In many cases, they will also use a Call Center script.

Customer Experience 300

Customer Experience Customer centricity Scripts Customer emotions 300

AWS Machine Learning

JULY 11, 2024

This post demonstrates how to use Amazon SageMaker to fine tune a Sentence Transformer embedding model and deploy it with an Amazon SageMaker Endpoint. Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account set up. Python script that serves as the entry point.

Scripts 124

Scripts Accountability APIs Engineering 124

AWS Machine Learning

AUGUST 1, 2024

The complete flow is shown in the following figure and it covers the following steps: The user invokes a SageMaker training job to fine-tune the model using QLoRA and store the weights in an Amazon Simple Storage Service (Amazon S3) bucket in the user’s account. Model artifacts are copied from the user’s account into an AWS managed S3 bucket.

APIs 122

APIs Scripts Real estate Accountability 122

JivoChat

MARCH 14, 2023

Learning how to add text to reels is very important to create high-quality content using Instagram. The Importance of Adding Text to Reels You can understand how to add text to reels to make your videos more accessible for Instagram users with hearing impairments. Check out the article to learn more about it.

Scripts 75

Scripts Accountability Marketing Personalization 75

AWS Machine Learning

DECEMBER 21, 2023

Typically, call scripts guide agents through calls and outline addressing issues. Well-written scripts improve compliance, reduce errors, and increase efficiency by helping agents quickly understand problems and solutions. In particular, complete the following prerequisite steps: Deploy an Amazon SageMaker domain.

Contact Center 116

Contact Center Scripts Interactive Voice Response contact center solutions 116

AWS Machine Learning

JUNE 17, 2024

This post focuses on how to achieve flexibility in using your data source of choice and integrate it seamlessly with Amazon SageMaker Processing jobs. to set up PrestoDB on an Amazon Elastic Compute Cloud (Amazon EC2) instance in your account. The model registry simplifies model deployment by centralizing model tracking.

Scripts 121

Scripts Engineering Metrics Big data 121

SharpenCX

APRIL 22, 2021

Read Next] How to give remote call center agents the support & resources they need. Once agents feel calm and ready to tackle even the most heated interactions, they can flip the script and use positive language with the customer. How agents can handle complainers (+ example scripts): Empathize.

Scripts 128

Scripts Coaching Call Center Accountability 128

AWS Machine Learning

NOVEMBER 14, 2024

Traditional methods relying on manual data entry or custom scripts for each vendor’s format can not only lead to inefficiencies, but can also increase the potential for errors, resulting in financial discrepancies, operational bottlenecks, and backlogs. Make sure your AWS credentials are configured correctly.

APIs 104

APIs Scripts Enterprise SaaS 104

AWS Machine Learning

DECEMBER 22, 2023

In this post, we demonstrate how to build a generative AI financial services agent powered by Amazon Bedrock. The agent can assist users with finding their account information, completing a loan application, or answering natural language questions while also citing sources for the provided answers.

Scripts 123

Scripts Chatbots Accountability Multi-channel support 123

AWS Machine Learning

OCTOBER 22, 2024

At the last step, a lifecycle config script is run to restore the Amazon EBS snapshots before the SageMaker space launched. Replace the account ID variable with your AWS account ID. This invokes the lifecycle config script to take an Amazon EBS snapshot on the application. Stop and restart the application.

Engineering 109

Engineering Scripts Accountability Consulting 109

AWS Machine Learning

OCTOBER 29, 2024

Financial services firms can accelerate workflows around loan applications, account openings, and regulatory reporting. In the following sections, we dive deep into how to build your IDP pipeline with Amazon Bedrock Prompt Flows. This will trigger the AWS CloudFormation template in your AWS account.

Finance 105

Finance Enterprise Healthcare Scripts 105

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 116

Scripts Engineering Metrics Best practices 116

AWS Machine Learning

NOVEMBER 15, 2023

This post shows how to create a custom-made AutoML workflow on Amazon SageMaker using Amazon SageMaker Automatic Model Tuning with sample code available in a GitHub repo. If you don’t want to change the quota, you can simply modify the value of the MAX_PARALLEL_JOBS variable in the script (for example, to 5).

Scripts 111

Scripts Best practices Accountability Engineering 111

Fonolo

OCTOBER 21, 2021

How to Foster Agent Engagement in a Hybrid Contact Center. If you’ve ever been frustrated after a customer service experience from not feeling heard, you know how much an experience like that can erode your trust in a brand. Agents should exercise intuition for each unique interaction, rather than blindly following a script.

Call Center 177

Call Center Contact Center Scripts Employee engagement 177

AWS Machine Learning

MARCH 6, 2024

In this post, we demonstrate how to efficiently fine-tune a state-of-the-art protein language model (pLM) to predict protein subcellular localization using Amazon SageMaker. In the following sections, we go through the steps to prepare your training data, create a training script, and run a SageMaker training job.

Scripts 117

Scripts Biotechnology Healthcare Accountability 117

AWS Machine Learning

JULY 11, 2024

This solution shows how Amazon Bedrock agents can be configured to accept cloud architecture diagrams, automatically analyze them, and generate Terraform or AWS CloudFormation templates. This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards.

Scripts 130

Scripts APIs Engineering industry standards 130

AWS Machine Learning

JUNE 4, 2024

In this post, we provide guidance on how to create an Amazon Bedrock custom model using HashiCorp Terraform that allows you to automate the process, including preparing datasets used for customization. Prerequisites This solution requires the following prerequisites: An AWS account. This example uses just the training split.

Scripts 132

Scripts Accountability Engineering Best practices 132

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 109

Scripts Metrics Best practices Management 109