Upskilling employees to use AI within organizations is far behind what it should be, according to McDonald’s Chief Data & Analytics Officer Michelle Gansle. Her keynote at MAICON earlier this month ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...

This course takes a classic, academic approach, offering a deep dive into AI algorithms, logic, probabilistic models, and ...

The industry believes AI will work its way into every corner of our lives, and so needs to build sufficient capacity to address that anticipated demand. But the hardware used to make AI work is so ...

This article was originally published by The Conversation. After the Sept. 10, 2025, assassination of conservative political activist Charlie Kirk, President Donald Trump claimed that radical leftist ...

Many frontiers have been crossed within football analytics. It was not too long ago that clubs would be lucky to obtain the most basic event metrics, such as shots, passes, and corners. Fast forward ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

An analysis suggests two Wisconsin data centers could use more energy than all the state's homes combined. The estimate assumes constant power demand, so actual usage may be lower. Three other ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Professional sports teams pour millions of dollars into data analytics, using advanced tracking systems to study every sprint, pass, and decision on the field. The results of that analysis, however, ...