Paula Rooney

Seasoned by recent supply chain challenges, IT leaders are better positioned to help their organizations navigate the potential protracted work stoppage by dock workers across the Eastern US seaboard.

Big Blue is betting that big iron for AI is a worthwhile investment for enterprise CIOs. With so much critical data still running through these legacy systems, IT leaders with hopes for AI might just agree.

Salesforce CIO Juan Perez has spoken with a lot of IT leaders of late. His big takeaway? C-suite expectations may be too hasty (and underinformed) to deliver meaningful AI value in a responsible manner.

Juan Pérez, CIO de Salesforce, ha hablado últimamente con muchos líderes de TI. ¿Su principal conclusión? Las expectativas de los directivos pueden ser demasiado precipitadas (y poco informadas) para ofrecer un valor de IA significativo de forma responsable.

Los responsables de TI, que ya no trabajan con varias nubes de forma accidental, se están esforzando por aprovechar las ventajas de la flexibilidad intencionada del ‘multicloud'. Pero las cuestiones clave, en particular la interoperabilidad, añaden complejidad al cálculo.

CIO Paul Beswick overhauled the firm's IT strategy and organization to establish tech capabilities across four business units, including a homegrown AI copilot at ‘1% of what it would cost' to license Microsoft's.

마시맥레넌(Marsh McLennan)의 CIO 폴 베스윅은 4개 사업 부문의 기술 역량을 강화하기 위해 IT 전략과 조직을 전면 개편했다고 밝혔다. 이 과정에서 마이크로소프트 라이선스 비용의 ‘1% 수준'으로 자체 AI 코파일럿을 구축했다고 그는 언급했다.

With AI use, innovation, and regulation confusion outpacing ratified standards, IT leaders are left to develop in-house approaches to mitigating AI risks, leaning on frameworks, tools, and their colleagues to get AI right.

생성형 AI 프로젝트가 개념 검증 단계에서 실제 운영 단계로 전환됨에 따라, CIO는 기업은 물론스스로의 가치를 보호하기 위해 AI 거버넌스 정책을 수립해야 하는 새로운 과제에 직면하게 됐다.

El uso de la IA y la confusión que existe en torno a su regulación evolucionan a un ritmo más acelerado que las propias normas que ya han sido aprobadas. Este escenario obliga a los líderes de TI a desarrollar estrategias que mitiguen los riesgos de la IA, apoyándose en marcos, en herramientas y en propios compañeros.