Knowledge is power. Take a look at our latest insights on all things data + AI.
Insights
Driving Analytics Adoption Q+A: Your Questions Answered
At our Driving Analytics Adoption webinar, Datatonic had the pleasure of welcoming data experts, Rachel Purchase, Head of Data Product, Insights and D...
Insights
Vertex AI Assessment: Choosing MLOps Tooling
Introduction
In recent years, many companies have looked to AI and Machine Learning as key technologies to drive growth by creating new revenue stream...
Vertex AI
Press releases
Datatonic acquires Montreal Analytics to accelerate Global Expansion
Datatonic acquires Canadian-based Cloud Analytics Consultancy, Montreal Analytics, to accelerate Global Expansion
17th April
Datatonic is pleased to...
Insights
Responsible AI 101: What You Need to Know
Authors: Valentin Cojocaru, Data Science Lead, Matthew Gela, Senior Data Scientist, Christelle Xu, Machine Learning Strategy Lead
AI and Machine Learn...
Responsible AI
Vertex AI
Insights
Configuring Cloud Build to use Static External IP Addresses
Authors: Kumail Kermalli, DevOps Engineer and Mohammad Pooladkhay, DevOps Engineer
Background
Cloud Build is Google Cloud’s server...
Cloud Data Engineering
Guides
Data Mesh on Google Cloud
A guide by data leaders, for data leaders, looking to turn Data Mesh principles into practice on Google Cloud.
The evolving nature of technology and r...
Cloud Data Engineering
Data Mesh
Insights
Vertex AI Tips + Tricks: Data Validation in Vertex Pipelines using Great Expectations
Building reliable and reproducible Machine Learning systems in production is a tough challenge that involves many facets beyond just the development...
Vertex 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...
