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How to maximise the performance of your existing systems
Free downloadInsights on the latest industry developments and technology advancements within digital transformation.
Overcoming the Challenges of Implementing AI - From Data Quality to Legacy Systems
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 in two categories at the National Technology Awards 2024
Audacia shortlisted for Digital Transformation of the Year and Technology Leader of the Year at the National Technology Awards 2024.
MLOps Best Practices: Enhancing Model Lifecycles in the Cloud
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.
3 Questions for Data Projects: Storage, Pipelines and Visualisations
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.
Digital Transformation: The Impact of Cloud Native Technologies & Microservices
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, shortlisted in Yorkshire Leadership Awards
Audacia's Managing Director, Philip White, is shortlisted in two categories in the Yorkshire Leadership Awards 2024.
AI Discovery: 3 Questions for Machine Learning Projects
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.
Top 5 most read industry articles by IT leaders in 2023
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.
Accessibility: Making UX the Core of Software Development
For many organisations, accessibility has historically been an afterthought in software development projects. However, as digital experiences become increasingly central across industries, creating inclusive products is no longer just ideal - it's imperative.
Demystifying AI: An IT Leaders Guide to AI & Machine Learning
We explore everything everything from the fundamental concepts of AI and ML, approaches and use cases, to industry examples of implementations across data, vision and language.
