Automating income taxes with Document AI
In the United States, Tax Season descends upon the country every April, requiring millions of Americans to spend hours deciphering cryptic documents and performing complex math just to figure out what they owe. Wouldn’t it be grand if there was a way for a computer…
MLOps in BigQuery ML with Vertex AI Model Registry
Without a central place to manage models, those responsible for operationalizing ML models have no way of knowing the overall status of trained models and data. This lack of manageability can impact the review and release process of models into production, which often requires offline…
Calling Google APIs from serverless (Part I: Cloud APIs)
Introduction As Google Cloud users, you may already be familiar with Google App Engine, Cloud Functions, or Cloud Run, our serverless platforms allowing technical practitioners to focus on building solutions, not what they run on. Google as a whole, has many divisions which provide developer tools beyond these platforms, so a common…
Regain Cloud SQL disk space with Database Migration Service
So you made a mistake, you pushed an application change that accidentally caused a massive surge of data to hit your database. And now your instance has made happy use of the feature of automatically expanding your storage when you get close to running out…
Meet AI’s multitool: Vector embeddings
Embeddings are one of the most versatile techniques in machine learning, and a critical tool every ML engineer should have in their toolbelt. It’s a shame, then, that so few of us understand what they are and what they’re good for! The problem, perhaps, is…
Using GeoJSON in BigQuery for geospatial analytics
The first step in most analytical workloads is to ingest the data that you need for your analysis into your data warehouse. For geospatial analysis involving point, line, or polygon data, ingesting data can be complex because geospatial data comes in myriad data formats. Two…
Creating Eventarc triggers with Terraform
Terraform is increasingly the preferred tool for building, changing, and versioning infrastructure in Google Cloud and across clouds. In an earlier post, Google showed how to create Eventarc triggers using Google Cloud Console or via the command line with gcloud. In this post, Google show how to create…
Using Vertex AI for rapid model prototyping and deployment
Bringing AI models to a production environment is one of the biggest challenges of AI practitioners. Much of the discussions in the AI/ML space revolve around model development. As shown in this diagram from the canonical Google paper “Hidden Technical Debt in Machine Learning Systems”,…
Apollo Scales GraphQL Platform using GKE
Every business has tools they start with, tools they grow with or grow out of, and tools they adopt along the way. GraphQL is an open source query language that many companies are adopting to modernize the way they, or their users, query resources. In…
Learn how to stream JSON data into BigQuery using the new BigQuery Storage Write API
The Google BigQuery Write API offers high-performance batching and streaming in one unified API. The previous post in this series introduced the BigQuery Write API. In this post, Google will show how to stream JSON data to BigQuery by using the Java client library. The Write API…
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Recent Posts
- Doubling calculation speed and other new innovations in Google Sheets
- Continued growth and success in the competitive logistics market
- How to get started with new Gemini model capabilities for Places API
- Database Center — your AI-powered, unified fleet management solution
- Google Workspace extends Gemini benefits to millions of customers
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