Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Are you a talented Java and Python developer looking to make an impact in the dynamic insurance industry? We have an exciting 12-month contract role with the potential to extend, based in Sandton, ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

I'm not a programmer, but I tried four vibe coding tools to see if I could build anything at all on my own. Here's what I did and did not accomplish.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

Django 6.0 has arrived, offering developers cutting-edge features like a built-in tasks framework, enhanced security with ...

The session highlights how InfluxDB 3 enables low-latency analytics and how MCP makes real-time data easier to explore. The talk will include a live demo where we will ask questions like “Is the ...

From Power Query to the Data Model, here are the five architectural gaps that keep me paying for Microsoft 365.

The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ...

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

In silico antibody accessibility analysis indicates that ectodomain epitopes are transiently exposed, while MPER epitopes are virtually always occluded in the pre-fusion trimer.