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

APRIL 18, 2024

Amazon Bedrock empowers teams to generate Terraform and CloudFormation scripts that are custom fitted to organizational needs while seamlessly integrating compliance and security best practices. Traditionally, cloud engineers learning IaC would manually sift through documentation and best practices to write compliant IaC scripts.

Scripts 113

Scripts Best practices Engineering Accountability 113

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

FEBRUARY 13, 2024

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

Accountability 114

Accountability Government Engineering Scripts 114

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

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

Help Scout

JULY 13, 2021

Teach your team how to apologize. Requiring customers to make a phone call to cancel or modify their account, when everything else can be done online, is infuriating. How Bare you? Tarek Khalil took to Twitter to document his quest to cancel his Baremetrics account. Use systems to catch outliers.

Customer Service 137

Customer Service Scripts Chatbots Airlines 137

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. These situations put your employees at a high risk to not correctly solve a customer inquiry—something that simply can’t be resolved with a script.

Best practices 140

Best practices Average Handle Time Analytics Coaching 140

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. But you have to know how to read them, what they mean and how to act on the results in order for the exercise to be worthwhile.

Best practices 182

Best practices Call Center Outbound sales Telemarketing 182

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 82

Accountability Best practices Scripts Engineering 82

ProProfs Blog

JANUARY 7, 2020

Common Customer Service Problems and How to Resolve Them. But if it’s that simple, then why do so many businesses do not know how to solve customer service problems? . If there is no accountability on the part of the agent if response times have been really prolonged. And your job is to salvage it all.

Customer Service 169

Customer Service Customer centricity Brand ambassadors Customer Support 169

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 108

APIs Scripts Accountability Construction 108

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 89

Government Best practices Accountability APIs 89

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. Agents must know how to be right without telling callers they are wrong.

Best practices 226

Best practices Call Center Contact Center Scripts 226

Callminer

APRIL 30, 2020

. “Few customers will jump for joy because of a transferred call no matter how you handle it, but it’s better to assure them that the action was taken in their favor in order to solve their current problem.” Account for customers’ biases and try to adapt to their communication style.

Customer Service 273

Customer Service Scripts Construction Feedback 273

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 109

Scripts Accountability Best practices Engineering 109

ProProfs Blog

APRIL 17, 2020

How to calculate metrics to measure customer success properly. How to improve the metrics for measuring customer success. 8: Average Revenue Per Account. #9: And by giving up, we mean closed accounts, stopped renewing services, canceled subscriptions, or did whatever it takes for them to be considered inactive.

Metrics 142

Metrics Customer retention SaaS Surveys 142

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 103

Scripts APIs Enterprise Accountability 103

AWS Machine Learning

MARCH 15, 2023

We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models. SageMaker runs the legacy script inside a processing container. SageMaker Processing job Let’s understand how a SageMaker Processing job runs.

Scripts 124

Scripts APIs Engineering Construction 124

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 99

Sales Coaching Telecommunications Accountability 99

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 111

Scripts Accountability Education Feedback 111

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 70

APIs Accountability Scripts Enterprise 70

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 110

Scripts Accountability APIs Engineering 110

AWS Machine Learning

JANUARY 6, 2025

In this post, we demonstrate how to set up this entire workflow. To build an anomaly detection system using such techniques, you need to write custom scripts for processing as well for training. SageMaker provides support for developing scripts by extending in-built algorithm containers, or by building your own custom containers.

Scripts 89

Scripts Metrics Construction Accountability 89

AWS Machine Learning

FEBRUARY 14, 2024

In this post, we demonstrate how to use a custom SageMaker Ground Truth labeling workflow to quickly and accurately annotate images, reducing the burden of developing large datasets for pose estimation workflows. For the purposes of this post, we create a labeling job using the example scripts and images provided in the repository.

Scripts 112

Scripts Engineering Entertainment Healthcare 112

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 120

Scripts Accountability Engineering Best practices 120

AWS Machine Learning

MARCH 8, 2023

After the data is downloaded into the training instance, the custom training script performs data preparation tasks and then trains the ML model using the XGBoost Estimator. Store your Snowflake account credentials in AWS Secrets Manager. Ingest the data in a table in your Snowflake account.

Scripts 114

Scripts Accountability Enterprise Management 114

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 101

Scripts Engineering Metrics Best practices 101

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 106

Scripts Engineering Metrics Big data 106

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 108

Scripts Chatbots Accountability Multi-channel support 108

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 107

APIs Scripts Real estate Accountability 107

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 102

Scripts Biotechnology Healthcare Accountability 102

AWS Machine Learning

APRIL 26, 2024

In this post, we walk through how to discover and deploy the DBRX model. In this section, we go over how to discover the models in SageMaker Studio. For more details on how to get started and set up SageMaker Studio, refer to Amazon SageMaker Studio. Also make sure you have the account-level service limit for using ml.p4d.24xlarge

Transportation 109

Transportation Scripts Accountability Benchmark 109

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 100

Contact Center Scripts Interactive Voice Response contact center solutions 100

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 117

Scripts APIs Engineering industry standards 117

JustCall

JUNE 28, 2022

In this pandemic economy, more businesses are now left asking “how to build an SDR team that performs optimally” So, how do you do it? Although there is no one ‘perfect’ sales team structure, the two crucial engines usually present are: SDRs – Sales Development Representatives AEs – Account Executives.

Sales 98

Sales CRM Accountability Scripts 98

Callminer

APRIL 21, 2020

Each phone call can have many different decisions on which way to go and how to handle it. Good scripting can lessen the amount of decision making, but another way to counteract. In as little as a few minutes per day, you can review specific accounts, challenges, and accomplishments with your entire team.

Call Center 182

Call Center Management Scripts Coaching 182