AWS Machine Learning

JUNE 24, 2022

As enterprise businesses embrace machine learning (ML) across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to innovation. Building an MLOps foundation that can cover the operations, people, and technology needs of enterprise customers is challenging.

Enterprise 90

Enterprise Engineering Accountability APIs 90

AWS Machine Learning

MAY 8, 2023

This can be a challenge for enterprises in regulated industries that need to keep strong model governance for audit purposes. How to expose the MLflow server via private integrations to an API Gateway, and implement a secure access control for programmatic access via the SDK and browser access via the MLflow UI. Adds an IAM authorizer.

APIs 71

APIs Government Accountability Scripts 71

AWS Machine Learning

NOVEMBER 14, 2023

In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. At the core of these cutting-edge solutions lies a foundation model (FM), a highly advanced machine learning model that is pre-trained on vast amounts of data.

Management 90

Management APIs Best practices Calibration 90

AWS Machine Learning

JULY 21, 2022

As a result, this experimentation phase can produce multiple models, each created from their own inputs (datasets, training scripts, and hyperparameters) and producing their own outputs (model artifacts and evaluation metrics). We also illustrate how you can track your pipeline workflow and generate metrics and comparison charts.

Metrics 78

Metrics Scripts Enterprise Telecommunications 78

AWS Machine Learning

AUGUST 29, 2023

Solution overview The following figure illustrates the proposed target MLOps architecture for enterprise batch inference for organizations who use GitLab CI/CD and Terraform infrastructure as code (IaC) in conjunction with AWS tools and services. The data scientist can review and approve the new version of the model independently.

Scripts 73

Scripts APIs Enterprise Accountability 73

AWS Machine Learning

DECEMBER 1, 2022

As companies are increasingly adopting machine learning (ML) for their mainstream enterprise applications, more of their business decisions are influenced by ML models. With the SageMaker Python SDK, you can seamlessly update the Model card with evaluation metrics. The following screenshot shows an example of the Model dashboard.

Government 78

Government Metrics APIs Engineering 78

Xaqt

JUNE 22, 2020

Despite significant advancements in big data and open source tools, niche Contact Center Business Intelligence providers are still wed to their own proprietary tools leaving them saddled with technical debt and an inability to innovate from within. Accessing this data throughout the enterprise is often a challenge.

Call Center 52

Call Center Contact Center Analytics Engineering 52

AWS Machine Learning

SEPTEMBER 9, 2022

Prior to our adoption of Kubeflow on AWS, our data scientists used a standardized set of tools and a process that allowed flexibility in the technology and workflow used to train a given model. To ensure we meet data compliance standards, we provision our AWS infrastructure in accordance with our athenahealth enterprise guidelines.

Engineering 76

Engineering Healthcare APIs Scripts 76