ConvergeOne

DECEMBER 7, 2021

The underlying technologies of composability include some combination of artificial intelligence (AI), machine learning, automation, container-based architecture, big data, analytics, low-code and no-code development, Agile/DevOps deployment, cloud delivery, and applications with open APIs (microservices).

APIs 79

APIs Big data Analytics Self service 79

AWS Machine Learning

FEBRUARY 13, 2024

His expertise spans a broad spectrum, encompassing scalable architectures, distributed computing, big data analytics, micro services and cloud infrastructures for organizations. It also shows how to grant access permissions to existing feature groups at the owner account and share these with another consumer account using AWS RAM.

Accountability 124

Accountability Government Engineering Scripts 124

AWS Machine Learning

OCTOBER 29, 2024

AWS CloudTrail is also essential for maintaining security and compliance in your AWS environment by providing a comprehensive log of all API calls and actions taken across your AWS account, enabling you to track changes, monitor user activities, and detect suspicious behavior. Enable CloudWatch cross-account observability.

Government 92

Government Metrics Accountability APIs 92

AWS Machine Learning

JUNE 3, 2024

You can change the configuration later from the SageMaker Canvas UI or using SageMaker APIs. To explore more about SageMaker Canvas with industry-specific use cases, explore a hands-on workshop. To learn more about SageMaker Data Wrangler in SageMaker Canvas, refer to Prepare Data. Set Instance count to 1. Choose Deploy.

Surveys 109

Surveys Metrics Engineering Analytics 109

ConvergeOne

DECEMBER 7, 2021

The underlying technologies of composability include some combination of artificial intelligence (AI), machine learning, automation, container-based architecture, big data, analytics, low-code and no-code development, Agile/DevOps deployment, cloud delivery, and applications with open APIs (microservices).

APIs 40

APIs Big data Analytics Self service 40

AWS Machine Learning

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously.

Benchmark 93

Benchmark Banking Analytics Big data 93

AWS Machine Learning

JANUARY 26, 2024

After you and your teams have a basic understanding of security on AWS, we strongly recommend reviewing How to approach threat modeling and then leading a threat modeling exercise with your teams starting with the Threat Modeling For Builders Workshop training program. Ram Vittal is a Principal ML Solutions Architect at AWS.

Best practices 137

Best practices Government Engineering Accountability 137