As more AI capabilities get integrated into cloud-native applications, security teams must shift their focus from securing infrastructure to securing decisions.
Just as cloud computing created demand for orchestration platforms and DevOps tooling, agentic AI may now be creating demand for a new operational layer altogether.
It’s getting harder to tell who the carrier is and who the cloud is, and most enterprise buyers haven’t adjusted their procurement, architecture or operational playbooks.
Trust often degrades quietly, through small, accumulating inconsistencies.
Rather than focusing on scale and how much an agent can retain, ask how the agent knows when it has learned something incorrectly.
Most transportation professionals understand the cost curve; the hurdle is a lack of high-fidelity data to act on it.
Online gaming exploded in the Philippines following the broad adoption of mobile Internet gambling during the pandemic. It rose 30% to 201 billion pesos ($3.3 billion) last year.
AI’s next bottleneck isn’t chips. It’s transformers, grid capacity, and whether data centers can get enough power to turn the GPUs on.
Most people assume nonprofits are behind on technology, but watching how they’re actually engaging with AI today, I’d argue the opposite is true.
ProtoArc has just announced the new EM11 Pro Ergonomic Vertical Mouse, a wireless mouse with ergonomic comfort and workflow customization tools that sells for $49.99.