The money will be used to develop new data centres to house, operate, and cool miles of stacked computer chips that process AI data and actions.

Organisations racing to implement generative AI (GenAI) find themselves caught between the pressure to innovate and the reality of what it takes to actually do so. As a result, Gartner research found ...

Perplexity Computer, as explained by David Ondrej, is a cloud-hosted AI system designed to handle complex tasks such as web automation, file generation and software integration. Its architecture ...

“Most organisations are deploying AI on severely underdeveloped or outdated data and data infrastructure. Without a strong ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Gartner warns over 40% of agentic AI projects will fail by 2027, attributing cancellations ...

Israel's national AI strategy backs a locally produced quantum computer and physical AI tools to secure tech sovereignty and future global leadership.

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Perplexity just launched Perplexity Computer, another agentic AI tool except this one acts as a kind of digital coworker. It can perform multi-step tasks on your behalf by employing several ...

First look: Perplexity AI aims to transform how artificial intelligence handles complex, multi-step tasks. Its new platform, called Computer, serves as a coordination layer for multiple large language ...

Perplexity Personal Computer is an AI-powered computer concept designed around an always-on desktop experience instead of a traditional chatbot setup. The Perplexity PC gives a Perplexity AI device ...

Boards are starting to ask tougher questions about money sunk into AI. Interrogations into the value of AI projects are an opportunity to re-focus. Concentrate on capacity building, strong ...

More than 80% of corporate AI projects never make it out of the pilot phase or fail to deliver measurable value once deployed, according to RAND research. This failure rate is two times higher than ...