Google AI Platform News: MLOps, Responsible AI, and Google Cloud’s Acquisition of AI Platform

## Google AI Platform News: MLOps, Responsible AI, and Google Cloud’s Acquisition of AI Platform

## Google Cloud Next ’23

Google Cloud Next ’23 took place in San Francisco last week, and the Google AI Platform team had a lot of exciting news to share. We announced new MLOps capabilities, new features for responsible AI, and the acquisition of AI Platform by Google Cloud.

## MLOps

We’re making it easier for you to build, deploy, and manage machine learning models with new MLOps capabilities in AI Platform. These capabilities include:

– A new MLOps service that provides a unified interface for managing the entire machine learning lifecycle, from data preparation to model deployment and monitoring.

– New integrations with popular MLOps tools, such as Kubeflow and TensorFlow Extended (TFX).

– New features for model monitoring and management, such as the ability to track model performance over time and to roll back to previous versions of models.

## Responsible AI

New features for responsible AI in AI Platform help you to build and deploy fair, unbiased, and transparent machine learning models. These features include:

– New tools for data exploration and bias detection.

– New algorithms for fair and unbiased model training.

– New features for model explainability and interpretability.

## Google Cloud’s Acquisition of AI Platform

Google Cloud has acquired AI Platform, a leading provider of cloud-based machine learning solutions. This acquisition will bring together AI Platform’s expertise in machine learning with Google Cloud’s leading infrastructure and data analytics capabilities. Together, we will provide you with the most comprehensive and powerful machine learning platform in the cloud.

## What’s Next

We’re excited about the future of machine learning on Google Cloud. We’re committed to providing you with the tools and resources you need to build, deploy, and manage machine learning models that are fair, unbiased, and transparent. We encourage you to [try AI Platform today](https://cloud.google.com/ai-platform).

## Additional Resources

– [Google AI Platform website](https://cloud.google.com/ai-platform)

– [Google Cloud Next ’23: AI Platform announcements](https://cloud.google.com/blog/products/ai-machine-learning/next-23-ai-platform-announcements)

– [AI Platform documentation](https://cloud.google.com/ai-platform/docs/)

– [Google Cloud AI blog](https://cloud.google.com/blog/topics/ai).

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