Project Management

Why SaaS Product Management Is the Best Domain for Data-Driven Professionals in 2026

In a recent Paris tech event, I had an exchange with data professionals. Our discussion focused on which domain is one of the best for data-driven professionals and find out how to best use...

The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon

how you can actually stay consistent together with your goals for 2026? This yr, I’ve decided that I don’t just want an inventory of goals. I would like a vision board backed by real...

What Clients Really Ask for in AI Projects

, 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...

Agentic AI and the Way forward for Python Project Management Tooling

, data scientists working within the Python ecosystem would normally juggle multiple tools to perform basic project management tasks, from creating virtual environments with venv and installing dependencies with pip or conda, to constructing...

Suggestions for Setting Expectations in AI 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...

Reducing Time to Value for Data Science Projects: Part 4

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...

Why AI Projects Fail

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...

Constructing a Personal API for Your Data Projects with FastAPI

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...

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