The Governance Gap Behind Woolworths, Commonwealth Bank, and the Next Headline You Haven’t Read Yet For boards and executive teams navigating AI adoption in 2026. Imagine calling Australia’s largest supermarket chain for help with your grocery order. The company has invested heavily in artificial intelligence. They’ve partnered with Google. They’ve announced their new AI assistant to the market with genuine fanfare. You type your question, and the chatbot tells you about its

To drive value from data, analytics need to be operationalised. Ad-hoc data exploration can be unclear, depends on each individual functional team’s preferences to generate insight, acted on and then forgotten under the pile of documentation. The preference may vary from the way the experiments are conducted, tools being used, and the finding has been disseminated. Every project starts from scratch. And if someone with a vast knowledge leaves the organisation, the prior knowl

In the rapidly evolving landscape of Generative AI (GenAI), the importance of version control for prompts cannot be overstated. Initially simple and rigid, prompts have evolved significantly with advancements in AI technology, particularly with the advent of large language models (LLMs) like GPT-3 and GPT-4, which enable more natural and context-aware interactions. Today, prompts are integral to the performance and reliability of AI systems, necessitating meticulous version c

The article highlights integrating software engineering best practices, like design patterns, into AI and ML workflows. Engineers often focus on achieving high accuracy and performance in model development, sometimes overlooking essential practices that ensure code is modular, maintainable, and scalable. Engineers can create robust, scalable, and maintainable ML systems by incorporating design patterns like pipelines, factories, adapters, decorators, strategies, iterators, fa

In the modern business landscape, the utilisation of data and analytics has transcended its conventional role of providing retrospective insights and has emerged as a catalytic force for driving meaningful impact across organisations. This article explores the concept of transformative analytics, delving into its significance, challenges, and strategies while shedding light on real-world instances of organisations that have successfully harnessed analytics to bring about prof