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Network Infrastructure & Security are the foundation any day even in the AI era. The evolution of artificial intelligence, ...

The patchwork of data localization requirements, especially across the Middle East and North Africa, have led to innovative ...

Google Cloud has released its second annual ROI of AI study, finding that 52% of enterprise organizations now deploy AI agents in production environments. The comprehensive survey of 3,466 senior ...

In this week’s edition of The Prototype, we look at stealthily building humanoid robots, a way to triple wheat production and ...

The new Gemini Robotics 1.5 models enable robots to carry out multistep tasks and even learn from each other. The new Gemini Robotics 1.5 models enable robots to carry out multistep tasks and even ...

Data readiness assessment is an important preparatory analysis that often complements discovery but it is narrower in scope. It evaluates data quality, availability, and governance, while the ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

Nvidia also believes that future progress of AI will be fueled by contributions in the open-source community. In an interview ...

From tech giants to startups, South Korean players are developing large language models tailored to their own language and culture, ready to compete with global heavyweights like OpenAI and Google.

New features unveiled at Pure//Accelerate promise easier cloud migration, smarter Kubernetes ops, and built-in threat detection, helping CIOs manage data sprawl and AI risk across hybrid environments.

Despite all the hype surrounding AI-powered digital experience (DX) platforms, one critical barrier keeps holding back real innovation: data silos. While vendors promise pain-free, privacy-friendly ...