AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Information technology architecture is where abstractions become real. Modern enterprises are increasingly moving toward ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Most organizations are now well into re-platforming their enterprise data ...

The so-called modern data stack is getting a facelift and perhaps a complete body makeover. As the point of control shifts from the database management system to the governance layer, we cite three ...

Data insights have never been more vital to business operations than they are today. Line-of-business (LOB) teams rely on data insights to drive sustainable growth, lead business operations, and ...

For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered applications and agents. When Miqdad Jaffer, product lead at OpenAI, challenged ...

Input from theCUBE and data practitioner communities suggests that acceleration in compute performance and the sophistication of the modern data stack is outpacing the needs of many traditional ...

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Much of the early discussion about generative AI in the enterprise was focused on the choice of foundational Large Language Models (LLMs). But after a year of seeing how enterprise vendors have ...