As enterprises continue to move AI agents and agentic applications into production, AWS says traditional observability and monitoring tools — including its own CloudWatch service —will struggle to explain why an agent behaved the way it did. CloudWatch uses metrics, logs, and traces to monitor applications and infrastructure across accounts, regions, and services through the…
Artificial intelligence has entered a new phase. For most large organizations, the conversation is no longer whether AI can create business value. It is how quickly AI can be deployed across the enterprise while maintaining security, governance, compliance, and control. From customer service and software development to drug discovery and financial modeling, AI is increasingly…
In the rapidly evolving information technology landscape, the data center of the future has arrived ahead of schedule. As AI workloads move to become core business drivers, the underlying infrastructure is hitting a thermal wall. For CIOs, the transition from traditional air cooling to liquid cooling is no longer a niche technical choice for supercomputers—it…
This year, the conversation in the C-suite has shifted from agentic AI to, “How do we make AI work safely, repeatedly, and at scale?” The answer lies in AI agents, autonomous or semi-autonomous systems that don’t just chat, but reason, plan, and execute multi-step tasks across your enterprise ecosystem. For many CIOs, the perceived barrier…
While first-wave AI was largely conversational—chatbots that summarized documents or drafted emails—the second wave is operational. AI agents are autonomous entities capable of reasoning, planning, and executing multi-step workflows. They don’t just tell you that your inventory is low. They negotiate with suppliers, update ERP systems, and optimize shipping routes without human intervention. However, this…
In the world of high-performance computing (HPC), few symbols carry as much weight as the C shape of the Cray-1. The US $1 Cray-1 coin is more than a tribute to computing history. It is a reminder that breakthrough performance has always depended on system architecture: how compute is arranged, connected, cooled, and operated. AI factories may…
For millennia, the definition of “work” was defined by the grip of a hand on a tool. When a craftsman held a hammer, the control was absolute. The feedback loop was instant – physics, muscle, result. Then came industrialization. We built machines that amplified force but abstracted control. The worker no longer held the tool;…
Every AI roadmap review I sit through this year eventually lands on the same question: which technology stack/model should we use? It’s the wrong first question to start with. Gartner projects that by 2027, organizations will deploy small, task-specific AI models at roughly three times the volume of general-purpose large language models. In my experience…
Efficiency, flexibility, and imagination are the keys to unlocking maximum IT productivity. Achieving intelligent restructuring requires a strong commitment to innovation as well as a willingness to try new and creative approaches to daily operations. Is your organization ready to embrace creative restructuring to boost long-term productivity? Here are seven ways to you can get…
A dashboard showing 92% CPU utilization may look alarming. It may also mean that infrastructure is being used efficiently while the service meets its SLA, transactions complete normally and automatic scaling has adequate headroom. A system running at 35% CPU, meanwhile, can still be experiencing a serious customer-facing failure. Both numbers matter to engineers. Neither…