Category: Uncategorized

A new survey of SAP customer organizations shows that, despite AI experimentation, few have implemented AI and generative AI technologies across their enterprises. That’s not to say organizations aren’t eager to leverage AI for process optimization and data analysis, in particular, but concerns about security, data quality, and governance remain hurdles. SAP conducted a “Use… Read more

Para su Informe sobre la preparación para la inteligencia artificial (IA) generativa, la compañía de servicios de TI Avanade encuestó a más de 3.000 ejecutivos de TI y empresas de 10 países con, al menos, 500 millones de dólares en ingresos anuales. Como era de esperar, más del 90% de los encuestados afirmó que su… Read more

Surrendering to algorithmic agents risks putting us under their influence. Read more

Para las empresas que operan en la nube, la seguridad y la gestión de costes son preocupaciones crecientes. Por lo general, estos problemas se abordan de forma aislada, con los equipos de seguridad y los equipos de FinOps siguiendo sus objetivos y prioridades por separado, y sin pensar demasiado en las oportunidades de colaboración entre dos divisiones… Read more

The increasing complexity of cloud computing has brought both opportunities and challenges. Enterprises now depend heavily on intricate cloud-based infrastructures to ensure their operations run smoothly. Site Reliability Engineers (SREs) and DevOps teams are tasked with managing fault detection, diagnosis, and mitigation—tasks that have become more demanding with the rise of microservices and serverless architectures.… Read more

Static analysis is an inherent part of the software development process since it enables such activities as bug finding, program optimization, and debugging. The traditional approaches have two major drawbacks: methods based on code compilation are bound to fail in any development scenario where the code is incomplete or rapidly changing, and the need for… Read more

2024 ha sido un año agitado en lo tecnológico. La inteligencia artificial generativa, junto con su hermana más tradicional, han vivido una época de efervescencia. El incidente del CrowdStrike ha servido para recordar la dependencia actual de la tecnología y cómo esta puede venirse abajo por una actualización mal ejecutada. También ha centrado el debate… Read more

Autoregressive LLMs are complex neural networks that generate coherent and contextually relevant text through sequential prediction. These LLms excel at handling large datasets and are very strong at translation, summarization, and conversational AI. However, achieving high quality in vision generation often comes at the cost of increased computational demands, especially for higher resolutions or longer… Read more

Understanding what’s happening behind large language models (LLMs) is essential in today’s machine learning landscape. Read more

이러한 맥락에서 최근 생성형 AI의 등장은 데이터 조직에 전례 없는 새로운 가능성을 제시하고 있다. 특히 내년에는 데이터 조직들에 두 가지의 큰 변화가 나타날 것으로 전망한다. 첫째, 데이터 조직의 역량이 본격적으로 검증되는 시기가 올 것이다. 수년 전만 해도 기업들은 딥러닝과 같은 새로운 기술을 도입하는 것만으로도 의미있는 성과라고 생각했지만, 이러한 기술들이 성숙기에 접어들면서 성공의 기준이 더욱 높아지고… Read more