AI puts skill development at risk for data scientists by minimizing hands-on practice and repetition.

Nobody files a ticket that says “our architecture has an abstraction problem.” They file tickets saying the data is wrong, or ...

Detailed data is useful for understanding and addressing environmental effects on people’s lives in ways that become ...

Backups are often treated as the safety net of business continuity. Something goes wrong, a server fails, a user deletes a ...

Companies such as BTA Sports are focused on data, analytics, and decision-support tools that help users organize and ...

Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering ...

Without a clear view of where sensitive data lives, who can access it and how it moves, blind spots can quickly turn into ...

There's a crucial strategic distinction between using data to optimize existing operations and using data as a catalyst for ...

Many AI programs underperform because businesses fail to redesign how work happens.

Many of the insights hitting soccer pitches today trace back to Jesse Davis and a team of computer scientists open-sourcing tools for some of the sport’s trickiest problems.

Venture capital firms are using AI the wrong way, argues Gilion's Henrik Landgren, who says that building better data infrastructure and connecting directly to sources like financial, payment and ...

And, with considerable assistance from AI tools, we’re seeing the emergence of companies like Pulse that are developing ...