Scaling AI demands a new infrastructure playbook

As enterprises move beyond AI pilots and proofs of concept, many CIOs are discovering a hard truth: Scaling AI into production is not simply a larger version of traditional application deployment. It is a fundamentally different infrastructure challenge. AI software must integrate with accelerated compute resources, high-performance networking, AI platforms, security controls, and observability tools.…

The next frontier: Intelligent apps meet agentic AI

Enterprises are entering the next phase of the AI revolution, moving beyond generative AI to embrace agentic AI. Where generative AI augmented human capabilities to automate and accelerate business tasks, the new wave of Intelligent apps harness AI agents that can act on their own and solve complex problems autonomously. Gartner has predicted that, by…

The unplanned work behind every AI use case

For most enterprises, the question of whether to invest in AI is no longer up for debate. AI is already part of the roadmap, the budget, and the board conversation. The harder question now is how to make AI deliver value at scale, not once, but repeatedly, across teams, functions, and geographies. That is where…

Day Two in enterprise AI: Why operations, drift, and retraining matter more than launch

There’s a familiar rhythm to technology adoption in large organizations. The initial excitement, the high-profile pilot, the executive sponsorship, and the promise of transformation. For many leaders, deploying a large language model (LLM) feels like crossing the finish line. The press release goes out, the dashboards light up, and the boardroom buzzes with optimism. But…