Rethinking Memory and Storage Architecture for the AI Inference Era
The shift to AI inference is transforming how data centers must be built and operated. Unlike traditional training workloads, inference powers real-time applications—from healthcare analytics that process millions of data points to intelligent assistants…
Ukraine’s Drone Data Sparks a New Digital Gold Rush
The battlefields of Ukraine are strewn with the wreckage of drones, a testament to their now-central role in modern warfare. Yet, amid this debris lies a new and lucrative resource for the defense industry. The data generated by these unmanned systems is…
OpenAI’s Rogue Agents Keep Escaping, Raising Calls for Independent Investigations
OpenAI’s recent agent swarm incident has intensified demands for independent oversight, as researchers and lawmakers increasingly question whether AI laboratories should be solely responsible for the scope of their own safety investigations.…
Data-Layer Governance: The Key to Controlling Autonomous AI Agents
As enterprises grant AI agents greater autonomy—the ability to plan, decide, and act across systems without human approval at each step—a critical question emerges in every architecture review: What actually stops an agent from completing an action it…
The Hidden Danger of Enterprise AI: Complexity Between Agents, Not the Agents Themselves
Enterprises are rapidly deploying fleets of AI agents, but the real danger isn’t a single agent running amok. It’s the tangled web of interactions between them—a complexity that can quickly spiral out of control, leaving organizations unable…