Previously in the PyTorch on Google Cloud series, we trained, tuned and deployed a PyTorch text classification model using Training and Prediction services on Vertex AI. In this post, we will show how to automate and monitor a PyTorch based ML workflow by orchestrating the pipeline in a serverless manner using Vertex AI Pipelines. Let’s […]

For many enterprises, the venerable mainframe is home to decades’ worth of data about the company’s customers, processes and operations. And it goes without saying that the business would like access to that mainframe data — to report on it, to analyze it with big data analysis tools, or to use it as the basis […]

What does modernization mean? As an IT leader or architect, you may notice that your software architecture is encountering performance issues. You may be considering moving your datastore from a mainframe or a traditional relational database (RDBMS) to a more modern database to take advantage of advanced analytics, scale at a faster rate, and opportunities […]

We are excited to announce Traffic Director’s general availability of client authorization by proxyless gRPC services. This release, in conjunction with Traffic Director’s capability for managing mutual TLS (mTLS) credentials for Google Kubernetes Engine (GKE), enables customers to centrally manage access between workloads using Traffic Director. With the new authorization support, you can explicitly permit […]

Google Cloud introduced Document AI to automate document processing and to streamline workflows with state-of-the-art machine learning models. With the deep neural networks, the models generalize the learning from seeing hundreds of thousands variations of the documents. But when information is missing or ambiguous on a document – like a missing address or entity name […]