The hub

Discover what a typical Machine Learning pipeline looks like for Propensity Modelling on Google Cloud Platform, using TensorFlow as our framework of c...

This article describes how we built a generic solution to perform joins of CSV data in Apache Beam. Typically in Apache Beam, joins are not straightfo...

The discipline around providing infrastructure and best practices in machine learning, MLOps, is starting to take shape and is reminiscent of the earl...

London, 9 April 2019 — Datatonic today announced that it has received the 2018 Google Cloud EMEA Services Partner of the Year award. This award was pr...

In the digital world, online companies must embrace data and analytics to ensure their media spend is competitive. Whilst Google Analytics and Adwords...

Experts estimate that 80-90% of data in organisations is unstructured, and the amount of unstructured data such as free-form text, images, audio and v...

The world’s data is expected to grow 10-fold over the next decade. Consequently, more and more sophisticated solutions to store and process data are r...

This story about how AutoML can help with wildlife preservation was also featured on this Google Cloud blog. Over the last 40 years, more than half of...

“Recommender systems” are engines that capture relationships between users and items, with the aim of predicting or suggesting new connections. This i...

They always say you should start the year on a positive note and that’s what we did last week: Datatonic and Qubit organised and hosted the second Apa...

We explore how making SQL reusable can help streamline analytics across your business, and why it’s good to be lazy. Good Programmers are Lazy So the ...

A Successful meet up Last week, Datatonic organised the first Apache Beam meetup in London, working together with Qubit and Google to educate and spar...