What do people mean by “artificial intelligence”? When I say “AI” I mean one of two things. First it could be the experience of a product feeling intelligent. Or I could refer to what it looks like technically: that the system uses machine learning, deep neural networks, code where you optimise parameters against a dataset. The not explicitly agreed but
A startup’s AI work often starts from a developer hacking algorithms on the side. When a generalist engineer with no data science background works on prediction problems, they often don’t use a dataset at all, or at best a small one. For example, in the early days of Veriff, a front-end developer tried to build a feature
As the coronavirus pandemic escalated, I was travelling around the world. The timing was unfortunate, but the endless hours of flying also presented an opportunity for reflecting on the virus. Most people correctly focus on the immediate effects of the virus: survival is required for anything interesting in the future. However, many people will change their habits permanently and that
devclub.lv meetup 07.11.2019ML at Veriff: What is possible in a year?Google Docs
You can quickly iterate code, but not data. This is one of the major bottlenecks in companies trying to automate human activities, and solving it generally would change the way every machine learning team works. To understand how easy things could be, consider a simple web application. To make a small change to the site – e.g. changing the way
This post is based on my talk at North Star AI 2019 [https://aiconf.tech/]. When I speak about automation in general, and the Automation team at Veriff, I mean it in a specific sense of the word. Building software to perform typically-human tasks… whose solutions usually cannot be perfectly described in code. An example of an automation task
This is a talk I gave at a Zen of Data Teams [https://www.meetup.com/Machine-Learning-Estonia/events/260081030/] event in Tallinn. The full slides are here [https://github.com/taivop/talks/blob/master/files/loops_of_building_algorithmic_products.pdf] . My talk starts at 50:53. The two loops of building algorithmic productsThe two loops of building
Now the title might be a bit clickbaity but it’s true: when I joined Veriff I had received an offer with a higher salary from a larger company. I decided to write about my choice because, year after year, I’ve kept moving towards riskier ventures in earlier and earlier stages, and in hindsight, I always used to be
