projects

are analytical structures for representing abstract concepts and organizing data. Data scientists usually use such frameworks — knowingly or unknowingly — to derive project plans, select machine learning models that balance various trade-offs,...

, clients and stakeholders don’t want surprises. What they expect is clarity, consistent communication, and transparency. They need results, but additionally they want you to remain grounded and aligned with the project’s goals as a...

that the majority AI pilot projects fail — not due to technical shortcomings, but attributable to challenges in aligning recent technology with existing organizational structures. While implementing AI models could seem straightforward, the true obstacles...

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...