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How to maximise the performance of your existing systems
Free downloadTechnical insights, stories and opinions from our team of consultants, analysts, developers and testers.
Designing Scalable Data Architectures for AI
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.
Technology Insights: Most Read 2024
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.
Managing Tech Debt within AI and Machine Learning Systems
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.
Thoughts from a Tester: Tips and Tricks to Avoid Development Team Horror Stories
From our latest Halloween-themed Tech Talk, Principal Test Engineer, Emily, shares tips and tricks to avoid development team horror stories, sharing best practices testers can implement to ensure improved quality, effective communication and continuous improvement.
The Role of Generative AI in Legacy System Modernisation
Generative AI is a technology that can help in simplifying legacy modernisation, offering solutions that go beyond what traditional techniques can achieve. This article explores how generative AI specifically enhances various stages of legacy modernisation, from automated code generation and documentation to testing and data migration.
Building User-Centric Products: You are Not Your Customer
Emily focuses on a common pitfall among development teams - assuming they know their users because they understand the product. Emily highlights how development teams should step outside of their perspective and embrace user-centric design to improve product quality.
YAML in Azure Pipelines: An Overview
An overview of YAML and its application within Azure Pipelines, from the fundamentals of YAML to the nuances of building efficient pipelines, through to highlighting how YAML streamlines CI/CD processes in modern DevOps practices.
Testing an AI WhatsApp Chatbot
Audacia partnered with Northern Trains to create an AI WhatsApp chatbot for live journey information. Being a public-facing AI WhatsApp chatbot, testing was a critical part of delivery. Here, we take you through how we executed automated testing on the project.
Top 5 most read tech articles by IT leaders in 2023
As we come to the end of 2023, we round up the most popular technical articles read by IT directors, CIOs and other tech leaders on our technology insights blog, with popular topics including Azure OpenAI Service, the latest developments in Vue, ML.NET for machine learning, and AI tools being applied within software development teams.
Front-End Frameworks: Pros & Cons for Accessibility
While front-end frameworks like React, Angular, and Vue accelerate web development, they can also introduce accessibility pitfalls. This article explores three popular frameworks' accessibility pros and cons, along with testing best practices.
