projects

AI project to succeed, mastering expectation management comes first. When working with AI projets, uncertainty isn’t only a side effect, it could make or break all the initiative. Most individuals impacted by AI projects don’t...

series in reducing the time to value of your projects (see part 1, part 2 and part 3) takes a less implementation-led approach and as an alternative focusses on the perfect practises of...

Parts 1 and a couple of of this series focussed on the technical aspect of improving the experimentation process. This began with rethinking how code is created, stored and used, and ended with utilising...

on a regular basis: This query is flawed from the start. An excellent project is personal to you, which implies any project I suggest will routinely be a “bad” selection. In this text, I aim to...

ChatGPT Projects just received its most vital update since launch, and the implications for productivity are substantial. OpenAI upgraded the Project feature, adding several essential tools that ought to improve your productivity while using...

are notoriously difficult to design and implement. Despite the hype and the flood of recent frameworks, especially within the generative AI space, turning these projects into real, tangible value stays a serious challenge...

Partially 1 of this series we spoke about creating re-usable code assets that may be deployed across multiple projects. Leveraging a centralised repository of common data science steps ensures that experiments may be carried...

have you ever had a messy Jupyter Notebook stuffed with copy-pasted code simply to re-use some data wrangling logic? Whether you do it for passion or for work, for those who code so...