85% of data science projects still fail. Here’s the pattern we’ve seen in 10 years of fixing them.
Gartner first published the 85% figure in 2017. Nine years later, it has not moved. That alone should tell you the problem is not in the choice of framework, the size of the model, or the GPU budget. Across a decade of rescue engagements, the pattern is remarkably consistent. The project was scoped against a […]
What we learned co-founding RiskFin-IQ: the five traps of AI-native fintech
When you advise on AI in financial services, you learn to talk fluently about risk, compliance, and explainability. When you co-found a fintech and put your own balance sheet behind the predictions, you learn what those words actually cost. Trap one: assuming clean data exists somewhere. It does not. Every invoice we ingested arrived in […]
Why agentic AI is the only architecture worth building toward in retail
For two decades, retail analytics has followed the same pattern: ingest history, train a forecasting model, surface a number on a dashboard, and hope a human acts on it. That pattern is exhausted. The ceiling is not algorithmic, it is organisational. A demand forecast that arrives in a planner’s inbox at 7 a.m. competes with […]
AIFA – Artificial Intelligence Finance Analytics
The project aims to create an ecosystem of finance and audit analytics designed to automate business, financial and internal audit activities using advanced artificial intelligence (AI), machine training (ML), and big data technologies. A team of experienced specialists will develop a modern, multifaceted, integrated, and modular platform for data management and analytics. The aim is […]
Open data is here, now what?
Open data is here, now what? We have good news. We have a lot of open data. In Holland, I believe there are about four or five thousand open data sources. That is great news, right? But while we’re not short on data, we are short on insights. I don’t need to tell you that […]
What makes an AI start-up fail?
Who doesn’t want to work for an AI startup? Everyone, right? And there are so many of them at the moment. But what you may not realize is that AI is a hard business and most start-ups fail. But no one talks about that. No one wants to talk about failures. But I do. So, […]
Visualizations – the brain follows the heart
This time I want to talk to you about visualizations. Actually, I want to talk to your heart. What do I mean? We want to talk about data, right? We want to talk about AI. What’s the heart got to do with that? Well, if you look at something visual, it’s not your mind that […]
Humans, not algorithms
To help you understand when to use AI, I want to talk about your algorithmic and non-algorithmic attributes. Now, what are those? We tend to assume that everything can be modeled. We assume that everything can be calculated, and thereby conclude that we can solve our problems with enough data and technology. That is true […]
Data management strategy
Let’s talk about data strategy. It’s not really a sexy topic, but it’s absolutely fundamental if you want to succeed in data science. And I don’t want to talk to you about the technology sitting behind your data. I want to talk to you about the soft side of your data. The soft side of […]
AI can be a red herring
AI can be a red herring. It’s easy to believe in the myth of the AI silver bullet. But you can debunk AI myths by identifying those red herrings. So what is a red herring? A red herring is when you are misled and the real problem is hidden from you. While companies like to […]