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A.J. Bram

A.J. Bram is a staff writer for theCUBE, SiliconANGLE Media’s livestreaming studio. A.J. writes about machines, systems and the people who make them hum. Code, infrastructure, applications — from the guts to the glass of modern tech. A.J. has worked for major tech organizations and top industry publications, producing writing that is detailed, concrete and unafraid to get into the wiring, with narrative flair that speaks to human readers.

Latest from A.J. Bram

Curated AI ecosystems move enterprises beyond pilot purgatory

AI By A.J. BRAM4 MONTHS AGO

Curated AI ecosystems are becoming the defining architecture of enterprise AI. The shift does not announce itself with spectacle. It shows up in procurement decisions, architecture diagrams and the slow retreat from fragmented experimentation toward systems that can actually hold under governance, …

Red Hat redefines the Kubernetes control plane for AI

AI By A.J. BRAM4 MONTHS AGO

The recent KubeCon + CloudNativeCon Europe event did not read like a celebration so much as an admission. AI is everywhere, but the systems underneath it are strained — not by models, but by layout. The data and machines that make AI are …

AI raises stakes for cloud-native governance, ops maturity

AI By A.J. BRAM6 MONTHS AGO

The cloud-native ecosystem stopped being experimental years ago. It now runs core infrastructure, wired into the daily operations of banks, retailers, media platforms and AI labs. The conversation shifted from Can it work? to Can it scale responsibly? Recent data from the …

From backup to ResOps: How Commvault is reframing cyber resilience

SECURITY By A.J. BRAM7 MONTHS AGO

The resilience conversation has moved from infrastructure teams to the executive agenda — because when identity and data can’t be trusted, uptime alone isn’t enough. As AI-driven systems accelerate the pace of change across data, applications and access controls, enterprises are being …

Process intelligence moves enterprise AI from PoC to ROI

AI By A.J. BRAM7 MONTHS AGO

As enterprise AI initiatives move from experimentation to scrutiny, many organizations are confronting a familiar gap between promise and payoff. Early pilots have demonstrated technical capability, but translating those efforts into measurable business impact has proven far more difficult. At Celonis SE, …

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