CASE STUDIES

We've helped many companies make an impact.​

Technology Transformation Case Studies

Cloud cost optimisation for maximising value

By reducing waste and fostering cost-efficient practices, cloud cost optimisation enables organisations to save up to 25% on expenses while driving innovation. This guide explores proven strategies like FinOps, right-sizing, and predictive monitoring to align cloud spending with business goals, maximising value and scalability.

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Building high-performing teams to drive change

High-performing teams are critical to digital transformation, offering 21% higher productivity and 59% lower turnover rates. By empowering teams to focus on valuable work, organisations can enhance morale, tackle challenges, and drive innovation. This guide explores how to build collaborative, resilient teams aligned with transformation goals.

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Conquering tech debt for transformation and growth

Tech debt isn’t just a technical problem—it’s a strategic challenge that affects productivity, agility, and business growth. With up to 40% of IT budgets dedicated to managing tech debt and its impact on developer productivity, organisations must address it to stay competitive. This guide provides expert strategies to manage tech debt effectively, prioritise reduction efforts, and integrate debt management into development cycles, driving innovation and sustainable growth.

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The DiUS Digital Transformation Foundations Guide

The DiUS Digital Transformation Foundations Guide focuses on three critical areas of digital transformation: tech debt, cloud cost optimisation, and high-performing teams. With expert insights and actionable strategies, it helps organisations streamline operations, maximise value, and build resilience for 2025.

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Navigating Data: How Financial Services Succeed in an AI Era

This report provides a comprehensive exploration of the critical role data plays in enabling artificial intelligence (AI) within Australia’s financial sector. With AI projected to drive significant economic impact by 2030, this report discusses key challenges such as data readiness, integration, governance, security, and compliance. It offers actionable strategies for financial institutions to leverage both traditional and generative AI, ensuring they remain competitive, compliant, and innovative. Backed by real-world use cases and insights from DiUS, the report serves as a guide for institutions aiming to align AI with their business and regulatory goals.

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Debuggable embedded systems design

Debugging embedded systems often feels like grappling with a black box—limited visibility and scant tools. This blog post reveals how designing with debugging in mind transforms the process. From optimised logging to practical command-line interfaces and AWS IoT-based remote access, uncover strategies to keep your devices accessible, even in the field.

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How soon is now? Why you might want to consider a time series database

Time series databases (TSDBs) are designed for real-time, time-sensitive data, making them perfect for IoT, system monitoring, and financial analysis. Unlike traditional relational databases, TSDBs handle high-speed data ingestion and time-based queries with ease. Discover how TSDBs can improve data accuracy, speed, and scalability for your projects, offering superior performance for real-time insights.

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Navigating the cross-platform maze: My journey with Skip

Struggling to find the perfect cross-platform tool? Skip might be the game-changer you’ve been looking for—write your app in Swift and watch it seamlessly transform into a Kotlin-based Android app. With native access to APIs and a single codebase for both iOS and Android, Skip simplifies development while offering a polished, native feel across platforms.

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How to choose the right LLM for your use case: An evolving journey

Navigating the world of generative AI can feel like exploring uncharted waters, especially when it comes to bringing a model into production. This blog dives into the crucial steps of selecting the right Large Language Model (LLM) for your specific needs, drawing insights from a recent AWS conference. From understanding the nuances of each model to leveraging an AI Gateway for a smoother deployment, this guide offers practical advice to ensure your generative AI application is both robust and future-proof.

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Designing generative AI experiences: Lessons from the front line

Hear from our experience design expert Anthony Vermeulen to learn how building real-world solutions with generative AI is a journey of discovery and adaptation. While there’s plenty of information on using generative AI tools, there’s less on designing for generative AI experiences. After wrapping up a project focused on increasing internal productivity through generative AI proof of concepts, Anthony shares key learnings and guidance for designers venturing into this innovative space.

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Combining traditional ML with LLM-generated synthetic data: A balanced approach for text classification

Explore how to harness the best of traditional machine learning by generating synthetic data with LLMs for training compact, efficient ML models. To illustrate this, I ran an experiment using GPT-4o to generate synthetic data for three text classification tasks: spam detection, product classification, and sentiment analysis. I’ve also set out some recommendations for anyone looking to leverage synthetic data generated by LLMs for training efficient ML models.

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Exploring the world of multilingual chatbots with generative AI

Recently, DiUS encountered a flurry of questions about multilingual chatbots from two clients in different industries. A healthcare provider needed to communicate with diverse, non-English speaking patients, while a travel company sought to enhance experiences for non-English speaking visitors. Both scenarios highlighted a common need: breaking down language barriers to improve user experience. Multilingual chatbots powered by generative AI offer a promising solution for seamless global communication.

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Data activation: From info to impact

Gaining stronger control over your data is a frequent topic in our conversations with clients. Rather than starting with the technology, the aim should be to get value from your data, transforming raw information into actionable insights. Unlike dark data, which is collected but not utilised, activated data is analysed and used to inform decisions, create new business models, and enhance customer experiences.

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A look into the career of… Kin Lee

Ever wanted to know what daily life in a tech consultancy looks like?  In our latest blog series, we chat with Kin Lee, Senior Machine Learning Consultant – about his role and what it’s like to experience DiUS. Your role at DiUS Senior Machine Learning Engineer with experience in machine learning, natural language processing and cloud computing.  A technologist by…

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Integrating ChatGPT into your product

We’ve all been flooded with posts, tweets and discussions on the use of ChatGPT, and how it can be used in many industries. While there are probably as many critics as embracers of the technology, we thought we’d take a different view and explore how ChatGPT could be used to further drive customer value to existing products.

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A cause for connection: Giving back at DiUS

Our people are passionate about giving back to the communities in which we live and work. So, earlier this year, we asked our people to nominate and vote on the charities that mattered most to them. One of those charities is Cure Cancer, the first organisation we supported in 2022.

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