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Responsible AI at Google Research: Context in AI Research (CAIR)

Posted by Katherine Heller, Research Scientist, Google Research, on behalf of the CAIR Team Artificial intelligence (AI) and related machine learning (ML) technologies are increasingly influential in the world around us, making it imperative that we consider the potential impacts on society and individuals in all aspects of the technology that we create. To these …

Five scalability pitfalls to avoid with your Kafka application

Apache Kafka is a high-performance, highly scalable event streaming platform. To unlock Kafka’s full potential, you need to carefully consider the design of your application. It’s all too easy to write Kafka applications that perform poorly or eventually hit a scalability brick wall. Since 2015, IBM has provided the IBM Event Streams service, which is …

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Responsible AI at Google Research: Context in AI Research (CAIR)

Posted by Katherine Heller, Research Scientist, Google Research, on behalf of the CAIR Team Artificial intelligence (AI) and related machine learning (ML) technologies are increasingly influential in the world around us, making it imperative that we consider the potential impacts on society and individuals in all aspects of the technology that we create. To these …

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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is essential for seamlessly bridging the gap between data science experimentation and deployment while meeting the requirements around model performance, security, and compliance. In order to fulfill regulatory and compliance requirements, the …

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3 new ways Duet AI can help you get things done fast in the Google Cloud console

Editorial note: Whether you’re new to Google Cloud or an experienced user, read on to learn how Duet AI can help you learn about products and services, generate code and commands, and understand your environment. In fast-moving organizations, engineers often work on large projects that utilize hundreds of cloud products and services, spanning multiple teams …