Author name: Marcelo Acosta

The tech world has been buzzing about MCPs (Machine Conversation Protocol), but beneath the viral discussions lies a fundamental shift in how AI assistants interact with the world around them. This isn’t just another technical buzzword – it’s a potential game-changer in how we build and use AI systems. The Evolution of AI Assistants The […]

Implementar un modelo de machine learning (ML) en un Jupyter Notebook o un entorno local es solo el comienzo. El verdadero desafío comienza al llevar ese sistema a producción, donde debe ser robusto, escalable y mantenible en el tiempo. El conjunto de prácticas conocido como MLOps (Machine Learning Operations) abarca todos los pasos necesarios para

AWS released several significant updates this week across AI/ML services, compute infrastructure, and security features. Key updates that impact cloud architecture and development workflows include: AI/ML Enhancements Meta’s Llama 4 Now Available in Amazon Bedrock AWS has made Meta’s latest Llama 4 models available in Amazon Bedrock. The first models in the series—Llama 4 Scout

Las empresas que dependen de arquitecturas tradicionales de TI comienzan a enfrentar obstáculos significativos. Servidores subutilizados generan costos fijos altos, las aplicaciones monolíticas dificultan escalar para subidas de demanda (o introducen latencia para usuarios globales), y mantener la infraestructura consume tiempo valioso de los equipos de TI. Además, implementar nuevas funcionalidades suele ser lento y

What is CI/CD and why is it essential in the cloud? Continuous Integration and Continuous Delivery (CI/CD) is a set of practices that automates the process of building, testing, and deploying software frequently. Instead of waiting for long release cycles, teams integrate code changes continuously and deliver them to production through an automated pipeline. This

¿Qué es CI/CD y por qué es fundamental en la nube? La Integración Continua y Entrega Continua (CI/CD) es un conjunto de prácticas que automatiza el proceso de construir, probar y desplegar software de forma frecuente. En lugar de esperar largos ciclos de lanzamiento, los equipos integran cambios de código continuamente y los entregan a

Traditional authentication methods create friction between security and usability. While passwords and codes provide security, they slow down users and create frustration. Amazon Rekognition’s Face Liveness solves this problem by verifying identity quickly and securely, without compromising on either aspect. Understanding Face Verification Challenges Face verification systems face sophisticated attacks from fraudsters who use high-resolution

The journey of building a startup with a co-founder is often romanticized in the tech world. We hear stories of successful partnerships that created billion-dollar companies, but rarely do we discuss the challenges and conflicts that arise along the way. The reality is that co-founder relationships are complex, intense, and require constant work to maintain.

Amazon Web Services introduced new capabilities in late 2024 and early 2025 that significantly enhance how teams build, deploy, and manage applications. These updates integrate machine-assisted automation across the software lifecycle while addressing the growing demands of scale, compliance, and security. For CTOs and enterprise leaders, these changes are practical, not cosmetic. Development and CI/CD

After years of speculation and market volatility, Web3 is finding stable ground in enterprise applications. The hype has receded, but the technology has matured. Companies are no longer experimenting with blockchain for the sake of novelty. They are integrating it where it solves tangible problems. This shift is especially visible in cross-border payments, supply chain