AI Platform - March 5th, 2020 [Feature]
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## Feature
[AI Platform Pipelines](https://cloud.google.com/ai-platform/pipelines/docs/) is now available in beta. AI Platform Pipelines makes it easier to get started with MLOps by saving you the difficulty of setting up Kubeflow Pipelines with TensorFlow Extended (TFX). [Kubeflow Pipelines](https://www.kubeflow.org/docs/pipelines/overview/pipelines-overview/) is an open source platform for running, monitoring, auditing, and managing machine learning (ML) pipelines on Kubernetes. [TFX](https://www.tensorflow.org/tfx) is an open source project for building ML pipelines that orchestrate end-to-end ML workflows.
* [Get started with AI Platform Pipelines](https://cloud.google.com/ai-platform/pipelines/docs/getting-started).
* Learn more about [AI Platform Pipelines and ML pipelines](https://cloud.google.com/ai-platform/pipelines/docs/introduction).
* [Orchestrate your ML process as a pipeline](https://cloud.google.com/ai-platform/pipelines/docs/create-pipeline).
What else is happening at Google Cloud Platform?
New Dataproc Serverless for Spark runtime versions 1.1.78 1.2.22
about 9 hours ago
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You can use Private Service Connect endpoints to access the regional service endpoints of supported Google APIs
about 10 hours ago
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For Cloud SQL Enterprise Plus edition, you can set the number of days of retained transaction logs from 1 to 35
about 11 hours ago
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The maximum number of concurrent workflow executions has increased from 7,500 to 10,000
about 17 hours ago
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