In this webinar, TDWI research fellow Donald Farmer and key industry and product experts from Snowflake discuss how organizations can modernize analytics and make their data AI ready in an ...

The pilot-to-production gap is now the most common reason enterprise AI initiatives stall. A generative AI feature built on a curated set of inputs, demonstrated at low traffic with a developer ...

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 are expanding their use of generative AI, copilots, and agentic AI, but problems arise when you attempt to deploy agentic AI without sufficient data architecture discipline. As ...

TDWI Transform 2026 runs September 20–25 at the JW Marriott in Anaheim. If you're deciding whether to attend — or trying to figure out how to structure your week — here's what's worth knowing before ...

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 ...