Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

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 ...

How prepared is your organization for the next wave of AI? Agentic AI systems are capable of reasoning, taking action, automating workflows, and operating with increasing autonomy. The TDWI Benchmark ...

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 ...

The Data & AI Leaders Summit runs September 21–23, co-located with TDWI Transform 2026 in Anaheim. It's worth explaining what it actually is, because "summit" can mean a lot of things. The format ...

The scale and complexity of modern enterprise data have outgrown centralized data warehouses and lakes. This is the reality data mesh was conceived to address. By shifting data ownership from a ...

Every failed generative AI initiative has a postmortem. And in almost every one, the blame lands on the model. But the model is rarely the problem. The real culprit is the training data. And the cost ...

Artificial intelligence is entering a new phase. What began as a rapid increase in generative AI adoption, often driven by accessible tools that can produce text, code, and content, has evolved into ...

The shift from legacy on-premises systems to modern, cloud-based ERP platforms is often marketed as a technical upgrade—a "lift and shift" to better infrastructure. However, seasoned data ...

Organizations are running into a hard reality with AI: progress stalls without a strong data foundation. TDWI research consistently shows that many enterprises are still unable to operationalize AI ...

In many retail organizations, business intelligence systems were originally designed to support analysts and executives. Analysts explored data, built dashboards, and ran queries to understand ...

Like many professionals, I’ve experimented with the BI, analytics, and data visualization capabilities of ChatGPT, Copilot, and other LLM-powered tools. On the whole, I’m quite impressed with their ...