As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

To address this challenge, I propose the 5‑Layer Modernization Stack, a practical, implementation‑ready architecture designed specifically for financial institutions adopting generative AI. This ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The launch of ChatGPT two years ago was ...

But a new model is emerging — one built on big data, market analytics, and precision audience development. And it’s changing ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now In VentureBeat’s reporting on generative AI ...

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 ...

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 ...

Modular Web3 frameworks solve this challenge. They enable developers to separate core components like data availability, execution, and consensus. Each part ...