For decades, the standard playbook for a CIO was defined by defensive metrics such as uptime, ticket resolution and budget containment. As we navigate 2026 and beyond, that playbook has been effectively retired. In an era where technology is critical to the core value proposition, the CIO has transitioned from the custodian of infrastructure to…
The pattern is remarkably consistent across industries: executive enthusiasm at the top, isolated pockets of experimentation in the middle and stalled adoption everywhere else. Despite billions in AI investment, only 5% of firms worldwide have achieved AI value at scale, according to Boston Consulting Group. A 2025 UKG global study found that just 38% of…
Every business process reflects the constraints that existed when it was first devised, says IT exec Maria Cardow. Those constraints, Cardow explains, typically derived from technology limitations at the time of the process’s initial implementation. As a result, many business processes to this day involve workflows that still require manual actions or cumbersome jumps between…
For decades, enterprise technology followed a familiar arc. A new capability would emerge as a specialty tool, useful to a handful of power users, managed by a dedicated team, funded through a departmental budget line. Over time, if the technology proved its value, it would graduate: First into a shared service, then into the core…
The focus of enterprise AI initiatives is shifting from storing, processing, and moving data to ensuring data means the same thing wherever it’s used. This is vital if an LLM is to understand the nuances and specifics of an individual business. Walmart’s recent announcement that it’s ending its partnership with OpenAI to power shopping through…
챗GPT, 클로드 코워크, 깃허브 코파일럿과 같은 대규모 언어모델(LLM)은 콘텐츠 생성, 코드 작성 지원, 협업 업무 등에서 개인과 조직이 인공지능과 상호작용하는 방식을 근본적으로 바꿔놓았다. 이러한 발전의 중심에는 ‘토큰화(Tokenization)’라는 개념이 자리 잡고 있다. 토큰화는 사용자의 입력을 모델이 어떻게 해석하고 처리할지, 나아가 어떤 기준으로 과금할지를 결정하는 핵심적인 과정이다. 토큰화를 이해하는 일은 활용 효율을 높이고 비용을 예측하려는 기술 전문가는…
While the promise of enterprise AI use hinges on productivity gains, hidden drains on productivity have emerged in practice, with your organization’s most engaged employees likely suffering the brunt of “AI workslop.” According to a recent survey from Workday, around 40% of time saved through use of AI is offset by the extra work created…
Un tsunami digital atraviesa la tradicional industria de construcción y gestión de infraestructuras. Después de décadas trabajando prácticamente sin cambios, la fiebre tecnológica emergida en los últimos años ha impactado de lleno, como no podía ser de otra manera, en un sector hasta hace relativamente poco anclado en el pasado y que ahora vive un…
Los directores de sistemas de información (CIO) no necesitan que se les convenza de que el retorno de la inversión (ROI) de la IA generativa y la IA agente es difícil de cuantificar, pero la consultora KPMG señala que algunas empresas siguen adelante con esta tecnología de todos modos.De hecho, más allá de la falta…
수치로 드러났다. 구글은 단일 기업 기준으로 가장 많은 AI 연산 자원을 보유하고 있으며, 그 상당 부분을 엔비디아에 크게 의존하지 않는 방식으로 운영하고 있다. 비영리 AI 연구소인 에포크 AI 연구소가 7일 공개한 분석 자료에 따르면, 전 세계 AI 연산 자원의 60% 이상이 미국 하이퍼스케일러에 의해 보유되고 있으며, 이 가운데 약 4분의 1을 구글이 차지하고 있다. 구글은…