The AI Platform Pipelines REST API by Google enables developers to deploy robust, repeatable machine learning pipelines. The API supports related components including monitoring, auditing, version tracking, and reproducibility. AI Platform Pipelines runs on a Google Kubernetes Engine (GKE) cluster, and uses Argo Workflows to manage clusters. Additionally, AI Platform Pipelines supports pipeline versioning, and artifact and lineage tracking.
Twenty-eight APIs have been added to the ProgrammableWeb directory in categories including eCommerce, Collaboration, and Machine Learning. Highlights include the Google Cloud AI Platform Pipelines API and APIs from Commerce Cloud by Salesforce. Here's a rundown of the latest additions.
Google has beta released its new Cloud AI Platform Pipelines. It allows developers to deploy robust, repeatable ML pipelines that include monitoring, auditing, version tracking, and reproducibility. Google has specifically designed the offering to be enterprise-ready, simple to install, and secure.
This article gives an overview of the HRCloud REST APIs.
HR Cloud APIs allow programmatic access to the data and services offered by the HR Cloud application. It is designed to give its users the...
Neuro AI provides instant infrastructure for machine learning models. The Neuro AI API is accessible indirectly via Python. Use the API to compile, predict and train machine learning models in cloud...
LODGEA is a SaaS to start your own online shop for accommodations in less than 15 minutes. Aspects of LODGEA in key words: cloud native, blockchain for transaction processing, Machine Learning /...
