Knowledge is power. Take a look at our latest insights on all things data + AI.
Insights
Cloud Data Warehouse: The Starting Point to Any Digital Transformation
Author: Matt Garner, Business Development Manager
Digital transformation plans that can take months and even years to execute are now being accelerate...
Cloud Data Engineering
Guides
Datatonic and Intel Whitepaper: How to be Hyper-Relevant
Bring Personalised Experiences to Customers
The ability to make every brand-to-customer interaction as relevant as possible has been the ultimate goal...
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...
