Insights on the latest industry developments and technology advancements within digital transformation.

Audacia is a finalist for "Consultancy of the Year" at the British Data Awards, an annual quest to discover and celebrate the UK’s data success stories.

As IT leaders navigate the path to integrating AI technologies into their operations, there can be a number of challenges. This article covers these obstacles, providing insights and strategies to overcome them to achieve successful AI and machine learning initiatives.

Audacia shortlisted for Digital Transformation of the Year and Technology Leader of the Year at the National Technology Awards 2024.

In today’s fast-paced technological environment, AI and machine learning are being adopted for innovation and efficiency in various industries. This article covers MLOps best practices and the critical role of tools and technologies in facilitating efficient ML lifecycle management.

Data is at the core of many decisions that organisations make. Good data helps organisations optimise production processes, improve product quality, enhance supply chain management and, ultimately, drive better decision making. We outline three question areas before beginning data projects.

Cloud-native technologies, coupled with microservices architecture, have become the cornerstone of modern application development. Here we explore the relationship between cloud-native technologies and microservices architecture and their role in the development of robust, scalable cloud applications.

Audacia's Managing Director, Philip White, is shortlisted in two categories in the Yorkshire Leadership Awards 2024.

Organisations have various factors to consider when beginning AI and machine learning projects. Here we cover 3 questions around data types, data outputs and model selection within the discovery phase of machine learning projects.

As we come to the end of 2023, we round up the most popular articles read by IT directors, CIOs and other tech leaders on our blog. Reflecting key technology trends and challenges, popular topics include AI and machine learning, sustainability, legacy systems and cloud migration.