Knowledge is power. Take a look at our latest insights on all things data + AI.
Insights
Optimise Your Google Cloud Costs Using Looker
Get a Detailed View with Datatonic + Looker Dashboards
Keeping track of Google Cloud consumption is key to monitoring your business’ expenses. H...
Looker
Insights
Hyper-Personalisation During and Post Pandemic
Author: Matt Garner, Business Development Manager
Personalization delivered at scale can no longer be a future business goal. As we’ve detailed ...
Personalisation
Press releases
Datatonic wins global award: Google Cloud Specialization Partner of the Year for AI + ML
London, 6 April 2020 — Datatonic today announced that it has received the 2019 Google Cloud Specialization Partner of the Year Award for AI + ML.
Data...
Insights
Machine Learning for Predictive Maintenance – Part 2: Predicting Hard Drive Failure
In the last post, I gave a brief overview of predictive maintenance. If you haven’t read it already I’d recommend going back and checking it out to ge...
Vertex AI
Insights
A Proven Approach to Migrate Your Data Warehouse Platform to Google Cloud’s BigQuery
Unlock the full potential of your data with a proven data warehouse migration approach led by a team of award-winning Google Cloud specialists.
Scalab...
Cloud Data Engineering
Insights
Sampling Methods within TensorFlow Input Functions
Many real-world machine learning applications require generative or reductive sampling of data. At training time this may be to deal with class imbala...
Insights
Building a BQML Linear Model with Looker Using Public Data
Author: Christelle Xu, Business Analyst
In my last article I introduced you to BQML and its implementation and integration with Looker. My goal this t...
Looker
Insights
Machine Learning for Predictive Maintenance – Part 1
Author: Thomas Gaddy, Data Scientist
The last few years have seen an explosion in interest in predictive maintenance. But what is predictive maintenan...
Vertex AI
Insights
Machine Learning Optimisation: What is the Best Hardware on GCP?
Optimisation of Machine Learning pipelines and hardware is a key component of our work here at Datatonic.
A Machine Learning pipeline is generally de...
MLOps
Insights
Implementing Your First BQML Algorithm in Looker
Author: Christelle Xu, Business Analyst
Leveraging BQML in tandem with Looker’s semantic layer to build, visualise, and deliver powerful predictions
A...
Looker
Insights
Celebrating Dataset Diversity in Recommender Systems
Dataset diversity
You’ve doubtless come across recommenders before. You’ll certainly have been on the receiving end of a few. The question is, what do...
Insights
Propensity Modelling at Scale using TensorFlow Estimators and Cloud AI Platform
Discover what a typical Machine Learning pipeline looks like for Propensity Modelling on Google Cloud Platform, using TensorFlow as our framework of c...
