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

Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

In today’s computing environment, businesses must revamp their data architecture, as it’s essential not only for technological advancement, but also for enhancing enterprise capabilities and ...

For more than 20 years we have been using Layer 3 connectivity powered by dynamic routing protocols to route traffic between data centers, but adoption of virtualization and geo-clustering ...

You know the drill. Your typical workday begins where yesterday's left off. A browser with 22 tabs of incomplete tasks, three open desktop apps, and a mountain of ...

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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 ...

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...

The innovative data availability layer is shaping the backbone of a modular blockchain ecosystem, promising scalability, interoperability and unprecedented flexibility for the future of Web3. Modular ...