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

From backup to ResOps: How Commvault is reframing cyber resilience

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 forced to rethink what recovery actually means in a cyber event. That shift ...

Process intelligence moves enterprise AI from PoC to ROI

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, the company’s position is increasingly direct: Enterprise AI requires operational context to deliver ...

Nutanix builds for enterprise AI as infrastructure turns hybrid

Nutanix Inc. sits at the crossroads of two powerful but conflicting trends: the push to the cloud and the pull back on-prem. The company that once sold boxes in racks now sells freedom — the promise to run workloads anywhere. Whether that promise pays off depends on which way enterprise AI turns next. At the ...

AI ambition meets data reality: Why ungoverned data undermines operational success

Companies are making aggressive bets on artificial intelligence, but many are discovering that AI success depends less on models and compute and more on whether they understand and govern the data beneath them. For unstructured data management provider Congruity360, that disconnect has become one of the defining risks facing modern enterprises: Organizations are racing toward ...

Why AI agents fail — and how process intelligence makes them work

Is there any good news for enterprises disappointed in their AI automation efforts? There is — but only if organizations confront a harder truth first. For companies struggling to realize value from AI agents, the problem is rarely the technology itself. It is the absence of process intelligence — the contextual foundation agents need to ...

From process mining to execution intelligence: A new phase for enterprise AI

The old way of plumbing enterprise workflows is on its last legs, and process intelligence is set to remake it. For companies drowning in log files, legacy systems and fragmented toolchains, a fresh standard is rising. That standard is borne largely by Celonis SE — the decacorn that has quietly turned process mining into a ...

Kubernetes and AI bond tightens around hardware, observability challenges

The world is circular. Kubernetes made developers forget about infrastructure and helped enable AI. Now AI is making them remember. Hardware — which cloud relegated to the back room — is now in the spotlight again.  At KubeCon + CloudNativeCon this week, attendees kept facing the same conclusion when it came to Kubernetes and AI: ...