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 ...

Data is reshaping the face of infrastructures, businesses, politics, and economics. Like oil, data is extracted, refined, valued, bought, and sold. With it comes new rules and regulations, and perhaps ...

Every year, thousands of organizations migrate their donor databases from one CRM to another. In that moment, before the new system goes live, they’re sitting on the single best opportunity they’ll ...

To build new AI applications, organizations are using more diverse data, including documents, emails, transcripts, and external data. This means governance must extend to how that information is ...

Generative AI is changing how organizations interact with data and analytics. Rather than navigating dashboards, writing SQL, or relying on predefined reports, business users can increasingly ask ...

It is a demanding time for data engineering. Many enterprises have already modernized their data platforms once by moving to the cloud, but the pipelines that fed those platforms often remained the ...

Typically, what most validation pipelines do when there’s a failure is report some kind of error code or even a line number and leave a human to make sense of what ...

Analytics teams already understand the cost of poor data. Bad definitions create conflicting dashboards. Missing fields create manual reconciliation. Stale records weaken forecasting. In agentic ...

Success with agentic AI will depend on much more than selecting the right language model. Organizations are moving beyond generative AI assistants to explore intelligent agents that can reason, plan, ...

Enterprise AI budgets are expanding at a pace that is making CFOs pay close attention. According to a 2026 survey of 2,360 senior executives, companies expect to spend approximately 1.7% of their ...

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 ...

Organizations continue to accelerate investments in generative and agentic AI to automate workflows, improve productivity, and deliver new business value. Yet many initiatives remain stuck in pilot ...