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Knowledge is power. Take a look at our latest insights on all things data + AI.

Responsible AI
Insights
Responsible AI: The Role of Data and Model Cards

Authors: Theodoros Marinos, Machine Learning Consultant and Matthew Gela, Senior Data Scientist In recent years, there has been a growing concern abou...

Responsible 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...

Vertex AI Assessment
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
Datatonic Montreal Analytics
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
Data Mesh
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
MLOps in 2023
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
Data Mesh Q+A
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
Geospatial Data Analysis
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