Audacia shortlisted for AI Company of the Year and Technology Company of the Year at the British Data Awards 2025.

Audacia is shortlisted for AI Innovation of the Year, Tech Company of the Year, Technology Leader of the Year (Philip White) and Best Tech Place to Work at the National Technology Awards 2025.

"Are we data ready?". Data readiness is a multifaceted concept encompassing technical readiness, cultural readiness, and governance readiness. It can be thought of as an organisation’s capability, effectiveness, and preparedness to use data for strategic outcomes. Here we discuss what data readiness actually means.

Artificial intelligence and machine learning projects depend on strong data foundations to function effectively. This article explores eight pillars for building reliable data foundations. From aligning goals and developing scalable infrastructure to maintaining data quality and managing technical debt.

Legacy data – the information stored in outdated, and often siloed, systems – is frequently seen as a challenge. The challenge is how to make this old data serve new objectives - such as real-time analytics, customer 360 views, AI-driven insights - without a complete overhaul of legacy systems. Here we focus on different approaches that enable organisations to leverage legacy data in modern architectures.

AI systems rely on vast amounts of data, where data quality is the biggest factor when ensuring model performance, however we must also carefully consider how well the data is structured, processed and made accessible. This article outlines the key strategies for designing data architectures that are robust, scalable and capable of supporting AI workloads in large organisations.

As we come to the end of 2024, we round up the most popular technical articles read by IT directors, CTOs and other tech leaders on our technology insights blog.

For AI and machine learning systems, technical debt extends beyond code to include complex dependencies in data, models, and operational workflows. In this article, we explore how technical debt differs from traditional software engineering, and actionable strategies with MLOps that can help to manage tech debt effectively.

How do we bridge the gap between continuous integration and truly continuous deployment? In this talk, Principal Software Engineers, Akeel and Luke, will explore two well-known branching strategies, trunk-based development and Gitflow, as dynamic tools to unlock this potential.

In this Tech Talk, Technical Director Richard Brown will explore why measuring Engineer Experience can have an impact on software delivery, covering what data points you should collect and how to apply these insights to enhance the productivity of both development and testing teams.

This tech talk will guide you through common challenges faced during the requirements-gathering phase of software projects, using relatable LEGO-based scenarios. From budgeting your resources to managing diverse stakeholders, discover actionable tips and tricks to set your project up for success.

When it comes to software bugs, not all are created equal - especially when the stakes vary across industries. In this Tech Talk, Emily will discuss how to navigate the complexities of bug prioritisation across diverse sectors and how to make informed decisions in industries where stakes and standards vary dramatically.