Knowledge is power. Take a look at our latest insights on all things data + AI.
Insights
MLOps in 2023
MLOps is a set of best practices, guidelines and technologies designed to deploy and maintain ML models in production. According to a recent McK...
Vertex AI
Insights
Data Mesh: Your Questions Answered
Author: Oliver Webb, Content Marketing Executive
At our Data Mesh: From Principles to Practice webinar, Datatonic had the pleasure of wel...
Cloud Data Engineering
Data Mesh
Insights
How the Modern Data Stack Is Reshaping Geospatial Data Analysis
Authors: Juan Calvo Ferrándiz, Data Engineer and Yue Zou, Machine Learning Engineer
Geospatial Data Analysis in the Current Data Ecosystem
...
Cloud Data Engineering
Responsible AI
Sustainability
Insights
Adding Near-Complete Autonomy to dbt Continuous Deployment Using “Slim Backfills”
Author: Ash Sultan, Analytics Engineering Lead
dbt is a great tool for data transformation and is popular with both open-source communities a...
dbt
Insights
Reinforcement Learning: How to Train an RL Agent from Scratch
Authors: Sofie Verrewaere, Senior Data Scientist, Hiru Ranasinghe, Machine Learning Engineer, Daniel Miskell, Machine Learning Engineer, Ollie Black...
Reinforcement Learning
Insights
Reinforcement Learning: Bringing Use Cases to Life
Authors: Sofie Verrewaere, Senior Data Scientist, Daniel Miskell, Machine Learning Engineer, Hiru Ranasinghe, Machine Learning Engineer
Reinf...
Gaming
Reinforcement Learning
Insights
Computer Vision: Generative Models and Conditional Image Synthesis
Author: Antonio Nieto García, Data Scientist
Our Computer Vision blog series has already covered an introduction to Computer Vision and some ...
Computer Vision
Insights
Vertex AI Tips and Tricks: Improving Debugging in Vertex AI Batch Prediction Jobs
Author: Pat Wang, Machine Learning Engineer
Vertex AI Batch Prediction provides a managed service for serving Machine Learning prediction...
Vertex AI
Insights
Computer Vision: Deploying Image Segmentation Models on Vertex AI
Authors: Alex Thomas, Senior Data Scientist and Matt Gela, Senior Data Scientist
In the most recent blog of our Computer Vision series, we sh...
Computer Vision
Vertex AI
Insights
Predicting and Reducing Energy Consumption of Machine Learning Models
In this blog post, we will explore ways to predict the energy consumption of Machine Learning models based on the number of CPU operations they requ...
Responsible AI
Sustainability
Insights
Greentonic: Climate Technology and Building a Sustainable Future
Climate change is the defining crisis of our time, and it is happening even more quickly than we feared. The current warming trend is highly...
Cloud Data Engineering
Sustainability
Insights
Vertex AI Tips and Tricks: Scheduling Vertex Pipelines Easily with Terraform and Cloud Scheduler
Vertex Pipelines provides a great way to orchestrate your Machine Learning workloads serverlessly on Google Cloud. It is based on KubeFlow Pipel...
