Quality Contact Solutions

DECEMBER 16, 2020

By Nathan Teahon, Strategic Account Manager. Recently I was asked what the key was to create a robust B2B Telemarketing Script. It’s a good question, and after having helped develop and implement thousands of successful scripts over the years, I don’t have that 30-second elevator pitch answer to that question.

Telemarketing 52

Telemarketing Scripts B2B Call Center 52

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. Synchronize the data source to index the data.

Scripts 114

Scripts APIs Enterprise Accountability 114

AWS Machine Learning

OCTOBER 28, 2024

In this post, we present a framework to customize the use of Amazon SageMaker Model Monitor for handling multi-payload inference requests for near real-time inference scenarios. A preprocessor script is a capability of SageMaker Model Monitor to preprocess SageMaker endpoint data capture before creating metrics for model quality.

Scripts 102

Scripts Metrics Engineering Analytics 102

AWS Machine Learning

OCTOBER 31, 2024

An AWS account and an AWS Identity and Access Management (IAM) principal with sufficient permissions to create and manage the resources needed for this application. If you don’t have an AWS account, refer to How do I create and activate a new Amazon Web Services account? The script deploys the AWS CDK project in your account.

APIs 121

APIs Scripts Accountability Construction 121

AWS Machine Learning

FEBRUARY 29, 2024

In this post, we present a framework for automating the creation of a directed acyclic graph (DAG) for Amazon SageMaker Pipelines based on simple configuration files. The framework code and examples presented here only cover model training pipelines, but can be readily extended to batch inference pipelines as well. The model_unit.py

Scripts 113

Scripts Engineering Metrics Best practices 113

JustCall

NOVEMBER 6, 2019

This plan can be made using structured cold calling scripts. Cold calling scripts can help you keep the conversation going with a prospect without worrying about pauses in the conversation. Thus, using cold calling scripts can help you fill in awkward pauses in the call. . 1 For Sale by Owner Script (FSBO).

Real estate 65

Real estate Scripts Sales Brand ambassadors 65

AWS Machine Learning

JULY 11, 2024

Retrieval Augmented Generation (RAG) is a popular paradigm that provides additional knowledge to large language models (LLMs) from an external source of data that wasn’t present in their training corpus. Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account set up.

Scripts 121

Scripts Accountability APIs Engineering 121

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 107

Engineering Scripts Accountability Consulting 107

Dialer 360

MAY 17, 2023

These campaigns aim to consolidate individual claims into collective legal action, amplifying the strength of the cases and creating a unified voice to hold the responsible parties accountable. Here are Some Mass Tort Campaign Scripts Examples Every mass tort campaign script customizes according to the case type.

Scripts 26

Scripts Advertising Automotive Accountability 26

AWS Machine Learning

JULY 25, 2024

Streamline content creation – Amazon Q can assist in generating drafts, outlines, and even complete content pieces (such as reports, articles, or presentations) by drawing on the knowledge and data stored in SharePoint. You need a Microsoft Windows instance to run PowerShell scripts and commands with PowerShell 7.4.1+.

Scripts 101

Scripts APIs Engineering Enterprise 101

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 119

APIs Scripts Real estate Accountability 119

Beyond Philosophy

AUGUST 22, 2024

For example, regarding customer education, she brings up Synthesia, which generates an AI voiceover for video scripts. Absorb creates presentations based on prompts one feeds it. Absorb creates presentations based on prompts one feeds it. Cudby also mentions Absorb , a company that uses AI in the learning management space (LMS).

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Scripts Education Personalization Consulting 195

AWS Machine Learning

NOVEMBER 30, 2023

You then perform a search against OpenSearch Service with the names and the embedding from the article to retrieve images that are semantically similar with the presence of the given celebrity, if present. The result from the multimodal model scores the images with a scarf present higher.

Scripts 116

Scripts APIs Entertainment Accountability 116

AWS Machine Learning

MARCH 8, 2023

SageMaker requires that the training data for an ML model be present either in Amazon Simple Storage Service (Amazon S3), Amazon Elastic File System (Amazon EFS) or Amazon FSx for Lustre (for more information, refer to Access Training Data). Store your Snowflake account credentials in AWS Secrets Manager.

Scripts 125

Scripts Accountability Enterprise Management 125

AWS Machine Learning

OCTOBER 21, 2024

However, hosting models presents its own unique set of challenges. If you have a different format, you can potentially use Llama convert scripts or Mistral convert scripts to convert your model to a supported format. The fine-tuning scripts are based on the scripts provided by the Llama fine-tuning repository.

APIs 136

APIs Scripts Finance Real estate 136

AWS Machine Learning

FEBRUARY 14, 2024

This input manifest file contains metadata for a labeling job, acts as a reference to the data that needs to be labeled, and helps configure how the data should be presented to the annotators. This is where any formatting or special modifications to the items can be done before presenting the data to the annotators in the UI.

Scripts 123

Scripts Engineering Entertainment Healthcare 123

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 90

Government Management APIs Accountability 90

AWS Machine Learning

JUNE 16, 2023

Not all drivers present the same risk profile. SambaSafety’s data science team maintained several script-like artifacts as part of their development workflow. These scripts performed several tasks, including data preprocessing, feature engineering, model creation, model tuning, and model comparison and validation.

Scripts 94

Scripts Engineering Accountability Consulting 94

AWS Machine Learning

DECEMBER 22, 2023

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. This memory allows the agent to provide responses that take into account the context of the ongoing conversation.

Scripts 120

Scripts Chatbots Accountability Multi-channel support 120

AWS Machine Learning

AUGUST 29, 2023

The presented MLOps workflow provides a reusable template for managing the ML lifecycle through automation, monitoring, auditability, and scalability, thereby reducing the complexities and costs of maintaining batch inference workloads in production. The central model registry could optionally be placed in a shared services account as well.

Scripts 80

Scripts APIs Enterprise Accountability 80

AWS Machine Learning

NOVEMBER 13, 2024

This innovative feature empowers viewers to catch up with what is being presented, making it simpler to grasp key points and highlights, even if they have missed portions of the live stream or find it challenging to follow complex discussions. After the deployment is complete, you have two options.

APIs 117

APIs Scripts Accountability Entertainment 117

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 105

Scripts Construction APIs Healthcare 105

ChurnZero

NOVEMBER 8, 2024

Training took months, and canned responses broke down the moment a customer veered off-script. Today, generative AI presents an unprecedented opportunity to tackle these challenges. Whether it’s updating an account, scheduling a meeting, or walking a customer through a complex setup, AI is removing friction from customer interactions.

Scripts 52

Scripts Personalization Metrics Accountability 52

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 113

Scripts Finance Telecommunications Enterprise 113

AWS Machine Learning

NOVEMBER 15, 2023

The following diagram presents the overall solution workflow. 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). This solution will incur costs in your AWS account. Note that individual pipeline scripts are not created yet at this point.

Scripts 108

Scripts Best practices Accountability Engineering 108

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 86

Scripts Accountability Metrics APIs 86

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 133

Scripts APIs Engineering Construction 133

Totango

AUGUST 13, 2024

“We hit 115% of our target across Totango + Catalyst in Q1 on our expansion number, and that was largely due to the CSMs and the focus they put in along with the work that we’re doing with our account executives. The partnership that we have is working.” The results?

Management 98

Management Best practices Consulting Consulting 98

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. In your account, you will have a VPC provisioned with a public and private subnet, and an S3 bucket synced to your FSxL file system via a data repository link.

Scripts 108

Scripts Metrics Management Accountability 108

AWS Machine Learning

APRIL 26, 2024

Also make sure you have the account-level service limit for using ml.p4d.24xlarge user Write a Python script to read a CSV file containing stock prices and plot the closing prices over time using Matplotlib. The file should have columns named 'Date' and 'Close' for this script to work correctly. 24xlarge or ml.pde.24xlarge

Transportation 120

Transportation Scripts Accountability Benchmark 120

AWS Machine Learning

OCTOBER 18, 2024

An AWS account. Make sure your account has the SageMaker Training resource type limit for ml.g5.2xlarge increased to 1 using the Service Quotas console. git clone [link] $ cd sm-qai-hub-examples/yolo The sm-qai-hub-examples/yolo directory contains all the training scripts that you might need to deploy this sample. environment.

Scripts 96

Scripts APIs Engineering Marketing 96

AWS Machine Learning

JUNE 21, 2023

Lifecycle configurations are shell scripts triggered by Studio lifecycle events, such as starting a new Studio notebook. This enables you to apply DevOps best practices and meet safety, compliance, and configuration standards across all AWS accounts and Regions. For Windows, use.cdk-venv/Scripts/activate.bat.

Construction 95

Construction Scripts Engineering Accountability 95

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. In this second part, we present a proof-of-concept healthcare and life sciences use case from a real-world dataset eICU.

Analytics 81

Analytics Healthcare Scripts Accountability 81

Hodusoft

APRIL 17, 2024

In this blog post, we will discuss everything about auto attendants starting from what they are, how they work, the pros and cons of using auto attendants, how to set up an auto attendant, and how to include scripts. Past and Present: A Brief History of Auto Attendant How Does an Auto Attendant Work? Read on to know more.

Real estate 52

Real estate Scripts Interactive Voice Response First call resolution 52

AWS Machine Learning

MAY 22, 2024

For details, see Creating an AWS account. Ensure sufficient capacity for this instance in your AWS account by requesting a quota increase if required. The script also merges the LoRA weights into the model weights after training. We use Amazon SageMaker Studio with the ml.t3.medium medium instance and the Data Science 3.0

Scripts 128

Scripts Engineering Accountability APIs 128

TechSee

AUGUST 7, 2024

Over time, additional interactive solutions like IVR systems added the ability to automate basic queries like account balances or simple troubleshooting. Ownership and accountability present yet another problem. One early example were email autoresponders that sent out immediate confirmations of receipt.

Customer Experience 124

Customer Experience Customer Service Interactive Voice Response Chatbots 124

AWS Machine Learning

JULY 5, 2022

Lifecycle configurations (LCCs) are shell scripts to automate customization for your Studio environments, such as installing JupyterLab extensions, preloading datasets, and setting up source code repositories. LCC scripts are triggered by Studio lifecycle events, such as starting a new Studio notebook. Apply the script (see below).

Scripts 88

Scripts Engineering APIs Consulting 88