AWS Machine Learning

JANUARY 5, 2024

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. Save model: This step creates a model from the trained model artifacts.

Management 107

Management APIs Engineering Government 107

AWS Machine Learning

FEBRUARY 6, 2024

Companies face complex regulations and extensive approval requirements from governing bodies like the US Food and Drug Administration (FDA). Users then review and edit the documents, where necessary, and submit the same to the central governing bodies. This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture.

Government 99

Government APIs industry solution Education 99

AWS Machine Learning

DECEMBER 19, 2023

Data and model management provide a central capability that governs ML artifacts throughout their lifecycle. Integrations with CI/CD workflows and data versioning promote MLOps best practices such as governance and monitoring for iterative development and data versioning. It enables auditability, traceability, and compliance.

Analytics 101

Analytics Engineering Government Best practices 101

CSM Magazine

FEBRUARY 23, 2021

Digital transformation acceleration drives cloud contact centre adoption of Calabrio workforce engagement management technology. Calabrio , the workforce engagement management (WEM) company, has seen a strong growth trajectory in the UK during the last 12 months, despite the global pandemic. About Calabrio.

Technology 52

Technology Cloud contact Telecommunications Analytics 52

AWS Machine Learning

FEBRUARY 13, 2023

According to Accenture , companies that manage to efficiently scale AI and ML can achieve nearly triple the return on their investments. An administrator can run the AWS CDK script provided in the GitHub repo via the AWS Management Console or in the terminal after loading the code in their environment.

Scripts 72

Scripts Best practices Transportation Construction 72

AWS Machine Learning

JUNE 14, 2023

Every organization has its own set of standards and practices that provide security and governance for their AWS environment. Amazon SageMaker is a fully managed service to prepare data and build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.

Best practices 76

Best practices Scripts Engineering Education 76