What can GPT-4 do for you? Showcase of incredible applications — OpenAI’s ChatGPT amassed a whopping 100 million monthly active users in two months, making it the fastest growing consumer technology in history. It’s not hard to see why. Modern generative AI apps, which includes Large Language Models (LLM) like ChatGPT & GPT-4, and multimedia synthesisers like Midjourney, OpenAI’s DALL-E &…

Tracing the history of machine creativity — A class of cutting-edge machine learning techniques have become incredibly adept at generating new images (and now, videos) from scratch or from existing ones. This is called image synthesis and has become one of the most popular use cases for generative AI. Image synthesis has many applications, such as… Advertising…

A deep dive into the challenges & opportunities in 2023 — Gaming has been the one fixture throughout my life. Since a fateful day in 1989 when my uncle introduced me to Super Mario Bros and the Nintendo Entertainment System (NES), gaming ran in my veins through adolescence and university — and then through multiple relationships and a multitude of jobs…

Define your own rules or let the data do the talking? — Let’s compare and contrast differential equations (DE) to data-driven approaches like machine learning (ML). In a nutshell — albeit with caveats — they can be thought of different approaches to modelling various phenomena. Do you make the rules? Or should you let your juicy data learn the rules for you? …

Understand why large companies are embracing data mesh — There are major ‘data earthquakes’ underway at large organisations worldwide. It is the decentralisation of the company’s data lake towards data mesh. At one of Australia’s ‘Big Four’ banks where I’ve worked in the analytics space for half a decade, we are smack middle of a huge transformation journey building…

Understand how large companies are building data assets — Companies worldwide are locked in a fierce race to transform into forward-thinking, data-driven organisations. But a widespread legacy project-oriented mindset has left many of them feeling like they’re trying to sprint in steel boots. Consider the bank I work at, for instance. It’s hard to daydream about AI and advanced…

Warehousing 101: A Practical Guide for Beginners — Over my five years of working in enterprise analytics, I’ve observed an interesting number of data scientists entering the job with limited knowledge of data warehousing and data modelling. This shouldn’t come as a surprise. Data scientists hail from diverse backgrounds such as math, statistics, psychology, and programming. Many likely…

The What, When, Why and How of Cloud — In 2008, Bill Gates made his final departure from Microsoft — confident he had instilled a culture of innovation for the future. Shortly after, the company best-known for Windows & Word ventured into the nascent field of cloud computing. In 2023, Microsoft Azure Cloud will be a $75 billion juggernaut…

Not having impact? Sell stories, not data. — A CEO once said… “The most powerful person in the world is the storyteller. The storyteller sets the vision, values & agenda of an entire generation that is to come.” - Steve Jobs at WWDC (1997) As a data scientist, engineer and researcher, I sit through many presentations that have…