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

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

First, Tromjaro boots very fast. On top of that, Tromjaro performs like a champ. This Linux distribution can compete with any lightweight OS on the market.

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.

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 ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

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

MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...

When one of the children started playing Google’s Quick, Draw!, a tool in Code Ninjas’ AI curriculum, others followed. The ...

The key distinction between IT and Computer Science is in their focus and responsibility: the former is application-oriented, ...

Explore the pros and cons of passwordless authentication for b2b tech. Learn how mfa and ciam shifts impact security and user experience.