Search for a command to run...
Series
In this series, we're posting articles from our technical blog - written by our Engineers, Consultants, Data Scientists and Technical Director.
As more and more organisations adopt AI, the need for scalable, resilient data architectures becomes significant. AI systems rely on vast amounts of data, where data quality is the biggest factor when ensuring model performance, however we must also ...
Legacy data - the information stored in outdated, and often siloed, systems - is frequently seen as a challenge. However, legacy data is also a treasure trove: decades of transaction history, customer interactions, product performance, etc., that cou...
In the rush towards AI and machine learning, it’s easy to forget that many business problems can be solved – often more transparently and robustly – with traditional mathematical and statistical techniques. Organisations, particularly those with mat...
How to get the first line of code - and everything that follows - right. Without legacy constraints, greenfield projects allow teams to bake in modern practices, cloud-native architectures and a developer-first culture from day one. Done well, those ...
This blog post has been adapted from this Tech Talk by Richard Brown, Technical Director at Audacia. Find the full video at the end of the article. Technology leaders regularly make decisions that shape the technical direction of organisations. Each ...
Running data functions at large organisations might look like one set of tools for ingestion, another for storage, something else for transformation, a separate analytics layer, and a BI platform bolt
