We hear Machine Learning used as a buzzword more and more frequently, but what actually is it? Below we will endeavour to leave you feeling ready to explain what the essence of Machine Learning is to any friend or foe with confidence (or at least fake confidence) without talking anyone's…

Background JAVLN is a fast growing NZ insurtech, solving broker pain points with smart software. International market entry is a strategic objective, some of which need new intelligent software capability to be unlocked. JAVLN was introduced to Arcanum through AWS. Led by CEO Dale Smith, it took only one call for…

Arcanum AI is a founding partner of the Golden Ticket programme supporting NZ FinTechs on their scale up journey. We sat down with recent Golden Ticket winner and entrepreneur Lucy Pink to talk about the ethical shopping company she founded, OnYou. Here’s what we learned about her journey in entrepreneurship…

What’s up with our pipeline? That was a question raised in our office last week, as we turned over 28 days since the release of our platform into the wild. Thankfully, it wasn’t a question because of the size of the pipeline. What it actually was, was a question about…

Off the back of our previous post re-classifying how we think about the ecosystem of intelligent apps, I thought I’d share an example of how Netflix has used two of the functional AI components — Extraction and Recommendation — to create seamless, personalised “intelligent apps”. Use Case #1 — the Netflix recommendation engine Most of us are probably…

Irrespective of whether you’ve got a strong technical background or not, the subject is incredibly complex. As one customer put it — the whole subject is increasingly inaccessible. This is problematic because it’s a central part of so many organisations’ strategies as they look to the future. What is it…

​Here’s how the AI industry is typically depicted. It’s no wonder it’s so impenetrable for most people. 7 clusters, 78 sub-clusters. 1,000’s of solutions. Good luck with your AI journey! Our approach: When we explain the AI stack, we like to use the analogy of the old-school slide projector. …

Embeddings are central to many areas of machine learning. They provide a way to numerically represent things in the physical world that are not naturally numeric. In this blog post, we’ll explore a simple use case: using embeddings to determine pairwise similarities within a collection of animals. Say you’ve found…

Introduction Deep convolutional neural networks (DCNNs) have shown their promising success in image classification. Two recently proposed DCNNs have been gaining great reputation very quickly: Residual network (ResNet) proposed in 2015 has reported an outstanding performance in terms of classification accuracy, which is still one of the best state-of-art classifier on…