I went to a small, liberal arts college in western Massachusetts whose mascot is a “purple cow” -- presumably chosen because of the large number of cows that graze in the foothills of nearby mountains ...

Analytic sandboxes are proving to be a key tactic in liberating business analysts to explore data while preventing the proliferation of spreadmarts and renegade data marts. Many BI teams already ...

Responsible data and analytics is a framework that ensures the ethical, legal, societal, and environmental implications of data and analytics are carefully considered in enterprise decision-making. It ...

If you want to be ready for the future of business intelligence, you’re going to need next-generation analytics. But without the right data you’re already a step behind. So how do you provide the data ...

As generative AI, copilots, and agentic AI systems move from experimentation into production, organizations are discovering that long-term AI success depends on the strength of the underlying data ...

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 ...

Before foundation models, building an AI system for a specific task meant training a model specifically for that task. A spam filter was trained on spam. A translation system was trained on translated ...

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 ...

Imagine spending years and hundreds of millions of dollars training a model, then watching a competitor deploy something functionally equivalent that they built by querying yours. That's the threat ...