New research from TDWI finds that organizations achieving the greatest business impact from AI have stronger architectural, governance, and operational capabilities. They increasingly view the data ...

Is your data truly ready to fuel agentic AI? If an autonomous agent consumed this data, would it understand what a given metric meant? Only about half of respondents to a recent TDWI survey agree that ...

A single source of truth is usually imagined as a technical thing: one central system, one database, one warehouse that everyone draws from instead of maintaining their own scattered copies. That's ...

A GPU is a graphics processing unit. The name is a relic of its origins. GPUs were designed to render graphics, to take the mathematical calculations required to display images on a screen and do them ...

Open any business intelligence tool and you're presented with a gallery of options: bar charts, line charts, pie charts, scatter plots, heat maps, treemaps, gauges, radar charts, and a dozen more. The ...

Imagine you've just moved to a new city and you're trying to find a good restaurant. You've tried three places. One was excellent. Two were mediocre. Tonight you have to choose: go back to the ...

In the 1970s, British economist Charles Goodhart made an observation about monetary policy that has turned out to apply far beyond economics. When a measure becomes a target, it ceases to be a good ...

There's a point in the growth of any dataset where queries that used to return in seconds start taking minutes, and the instinct is to throw more compute at the problem. Sometimes that helps. Often ...

The history of large language model improvement has largely been a story about training. Bigger models. More data. More compute spent during training. The scaling laws, covered in a separate piece in ...

If you've spent any time working with distributed data processing, you've probably encountered a job where most of the tasks finish quickly and one task runs for what seems like forever, holding up ...

The term "hallucination" entered mainstream conversation alongside the rise of large language models, and it spread quickly because it named something people were already experiencing. You ask an AI a ...

Data has a complicated relationship with time. When you store a fact in a database, you're implicitly answering a question: true as of when? Most database designs don't ask that question explicitly.