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. Domain-level resource isolation.

APIs 65

APIs Engineering Scripts Accountability 65

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 120

Scripts Accountability APIs Management 120

Callminer

AUGUST 1, 2017

Coping with unanticipated upticks in demand, staff turnover, and other common call center challenges only further complicate matters for managers working to create an efficient, productive, and effective team. Vincent Nero is the VP General Manager of Successories. Source: Human Resource Management; Issue: 51(4); 2012; Pages 535-548.

Contact Center 334

Contact Center Call Center Average Handle Time Real estate 334

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. Alternatively, if you are looking for a fully managed service to deliver highly accurate forecasts, without writing code, we recommend checking out Amazon Forecast.

Metrics 76

Metrics Healthcare Accountability Transportation 76

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. Search for App Manager and create a new connected app. Choose Manage Consumer Details.

APIs 78

APIs Scripts Management Accountability 78

Fonolo

NOVEMBER 17, 2020

To achieve that within a remote or hybrid work environment, we’re going to see more contact centers reach for a cloud-based technology that drives camaraderie, increases visibility, allows supervisors to coach from anywhere, and enables agents to self-manage.” Managing a contact center has a unique set of challenges.

Contact Center 176

Contact Center Gamification Call Center Average Handle Time 176

Comm100

OCTOBER 30, 2017

Contact center management is a difficult job. Even as an outsider, if you’ve spent any time at all working alongside a call center or contact center you’ve probably seen the same mistakes being made by management over and over regardless of the company, the market, the product or customer base. How can I fix it?

Best practices 45

Best practices Contact Center Management outsourcing 45

CSM Magazine

JUNE 12, 2020

This differs from supply chain management, which monitors the activities and resources required to bring a product to market. A business ecosystem is a set of value-creating relationships among its members and can include customers, suppliers, employees, financiers, communities, and managers. Stakeholder Theory and the Value Chain.

Customer Service 52

Customer Service Omni-channel support Virtual Agent Chatbots 52

Taylor Reach Group

JUNE 11, 2018

Voice: Gartner predicts that by 2020 a customer will manage 85% of the relationship with an enterprise without interacting with a human. Phone is expected to account for 47% of contacts in 2019 compared to 64% in 2017 (Deloitte). In fact, the percentage of Contact Centers using call scripting has risen from 48.3% of the vote.

Contact Center 50

Contact Center Self service Scripts Call Center 50

AWS Machine Learning

JUNE 29, 2022

RStudio on Amazon SageMaker is the industry’s first fully managed RStudio Workbench in cloud. In this post, we share step-by-step instructions to create a custom image and bring it to RStudio on SageMaker using the AWS Management Console or AWS Command Line Interface (AWS CLI). Prerequisites. The appropriate AWS CLI version.

Analytics 75

Analytics Scripts Management Engineering 75

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 71

Scripts Accountability Transportation Benchmark 71

AWS Machine Learning

MARCH 15, 2023

Tens of thousands of AWS customers use AWS machine learning (ML) services to accelerate their ML development with fully managed infrastructure and tools. SageMaker runs the legacy script inside a processing container. The underlying infrastructure for a Processing job is fully managed by SageMaker.

Scripts 122

Scripts APIs Engineering Construction 122

AWS Machine Learning

MAY 8, 2023

With Amazon SageMaker , you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. How to use MLflow as a centralized repository in a multi-account setup.

APIs 70

APIs Government Accountability Scripts 70

AWS Machine Learning

APRIL 23, 2024

Docker support in SageMaker Studio notebooks enables developers to effortlessly build Docker containers and access pre-built containers, providing a consistent development environment across the team and avoiding time-consuming setup and dependency management. LCCs are scripts that SageMaker runs during events like space creation.

Scripts 96

Scripts APIs Engineering Feedback 96

AWS Machine Learning

APRIL 16, 2024

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. This addition enhances data accessibility and management within your development environment. Meanwhile, other connection properties can be managed directly through AWS Glue connections.

Airlines 90

Airlines Management Engineering Accountability 90

AWS Machine Learning

AUGUST 17, 2023

Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker , a fully managed ML service, with requirements to develop features offline in a code way or low-code/no-code way, store featured data from Amazon Redshift, and make this happen at scale in a production environment.

APIs 74

APIs Engineering Scripts Analytics 74

AWS Machine Learning

JUNE 6, 2023

For instance, if you have on-premises restrictions or existing investments in open-source products, you can use Amazon EC2, AWS ParallelCluster , or AWS UltraCluster to run distributed training workloads based on a self-managed approach. Run your DLC container with a model training script to fine-tune the RoBERTa model.

Scripts 69

Scripts APIs Benchmark Management 69

AWS Machine Learning

DECEMBER 14, 2023

Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code Open Source), and RStudio. Spaces are equipped with predefined settings for compute and storage, managed by administrators.

APIs 98

APIs Engineering Management Scripts 98