Cloud adoption has fundamentally changed how enterprises build and deliver technology. For much of the past decade, cloud strategy was framed around a simple mandate: move fast and move to the cloud. That approach helped organizations modernize development practices and accelerate innovation. But in my experience working with mission-critical systems, I’ve seen that applying the…
Most enterprises are writing AI policies right now. They are also standing up review boards, model inventories, and risk registers. That’s progress. Then the first real incident happens: An agent changes a configuration. A staff member pastes sensitive data into a tool they were not approved to use. A model output drives a decision nobody…
Despite the buzz surrounding AI, many organizations struggle to move beyond experimentation and pilot programs to fully scale AI across their enterprises. According to recent industry research conducted by EXL, while 96% of organizations believe scaling their AI initiatives over the next year is very important, companies have successfully integrated AI into less than half…
Remember when training meant scheduling a conference room, ordering catering, and hoping people would stay awake through PowerPoint slides? Those days are gone. The pandemic didn’t just force us online — it exposed something we suspected but couldn’t prove: our workforce’s skills were decaying faster than any annual training cycle could fix. What replaced that…
After years of building AI-native companies and partnering with Fortune 500 teams through large-scale technology transformations, I’ve watched AI follow a familiar, deceptive path. It starts as a spark of an idea. Then a pilot. Then, almost without ceremony, it becomes part of the machinery that keeps the business running. This transition is no longer…
The infrastructure demands of modern data centers are undergoing a fundamental shift. As organizations deploy increasingly complex AI/ML models, high-performance computing clusters and real-time analytics platforms, traditional scale-up architectures have reached their limits. For CIOs, CTOs and data center managers, the question is no longer whether to adopt scale-out networking, but how to build it…
One primary IT objective is to reduce the complexity of using technology to empower business teams to continuously improve operations. In doing so, CIOs help departments become more customer-focused, efficient, and data-driven by leveraging their expertise to define their technical operations, often without IT’s direct involvement. This democratization of technology and data now extends to…
When was the last time you killed a “green” project? If the answer is “never,” you are likely still managing projects. If the answer is “last quarter, because we found a 3x better use for that capital,” then you are allocating capital. That distinction isn’t just semantic, it’s the gap between being a cost center…
Most SAP migrations fail before implementation begins. This is the conclusion of the “The State of SAP Migrations” from ISG. The technology research and advisory firm, which surveyed more than 200 business and IT decision-makers from large, international companies with over 1,000 employees, found that less than one in five companies (18%) implement new SAP processes and…
많은 이가 올해 역시 에이전틱 AI의 해가 될 것으로 예상했지만, 실제 흐름은 보다 현실적인 방향으로 이동하고 있다. AI 및 머신러닝 기반의 확률적 코드와 전통적인 규칙 기반 결정론적 코드를 동시에 다루는 데 초점이 맞춰지고 있다. 두 기술을 단순히 포트폴리오 차원에서 병행하는 것이 아니라, ‘추론’과 ‘확정’의 강점을 정교하게 결합해야 하는 하이브리드 애플리케이션이 빠르게 늘어나고 있다. 이제 많은…