Synthetic data has become a buzzworthy topic in recent times, offering a glimmer of hope for addressing the challenge of limited high-quality data for training AI and ML models. The other day, an enthusiastic salesperson came to me with a pitch for a product that claimed to generate synthetic data. Now, don’t get me wrong, AI and ML models are undoubtedly going to shape the future of work. However, I have some reservations about relying solely on synthetic data to build these

As CDAO Melbourne marks its 10th anniversary with the 2024 conference, it’s an opportune moment to reflect on a decade of transformative evolution in Melbourne’s data and analytics landscape. As a regular participant, I have witnessed firsthand the remarkable progress. This article analyses my observations over the years, aiming to assess the evolution, identify the challenges for large-scale adoption, and develop a practical strategy to address the identified issues. A refle