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 ...

The UK is investing more than £5B in drones and autonomous military systems as modern warfare pushes defense tech toward ...

Tech layoffs are accelerating as companies invest heavily in AI, raising questions about automation, over-hiring, and ...

Google will let teachers assign Gemini study notebooks through Classroom as the AI study tool expands to school-issued ...

South Korean families are using AI memorial videos to recreate dead loved ones, raising questions over grief, consent and ...

Portugal launched Amália, its first open-source AI model built for European Portuguese, as Europe pushes for more sovereign ...

Tesla is testing its steering-wheel-free Cybercab in Austin as new federal rules could ease the deployment of autonomous ...

Google’s AI capacity limits on Meta reveal a broader risk for Australian enterprises. Learn why AI infrastructure resilience ...

AI chip supply constraints are affecting enterprise GPU access, cloud pricing, infrastructure planning, and vendor strategy ...

OpenAI has reportedly discussed giving the US government a 5% stake, raising questions about AI wealth sharing and regulatory ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Compare smart glasses from Meta, Google, Samsung, Apple, Snap, Xreal, and others, including features, use cases, buying tips, ...