Author name: Marcelo Acosta

Google’s August AI announcements buried the useful updates under flashy consumer features and hardware launches. While everyone focused on new Pixel devices and image editing tricks, the real story is about enterprise capabilities that fundamentally change how teams analyze data, solve complex problems, and prototype ideas. Here’s what actually matters for teams building products and […]

Most mobile AI today is either terrible or fake. Apps that claim “AI-powered” features are usually just making API calls to OpenAI or Google, burning through your data plan and battery while sending your private information to servers you’ll never see. Liquid AI just changed that equation with LFM2 and LEAP—tools that make genuinely intelligent

Amazon Bedrock AgentCore: Bringing Agentic AI to Production The gap between building an impressive AI agent demo and shipping it to production has historically been enormous. With Amazon Bedrock AgentCore, AWS closes much of that gap. AgentCore provides the unglamorous but critical infrastructure needed to run AI agents at enterprise scale, while Amazon Q Developer

The AI agent worked perfectly in the demo. It could answer questions, search through documents, and even schedule meetings by talking to Slack. But when the enterprise AI team tried to deploy it for 500 users across multiple departments, everything broke. Authentication failed. Memory leaked between sessions. The integration with Salesforce required custom middleware. Observability

The CFO’s question was direct: “Why are we still paying 40% more for database performance we could get cheaper on Graviton?” The engineering team had been putting off the migration for months, citing complexity and uncertainty about .NET compatibility. But the numbers from AWS’s latest Graviton 4 benchmarks made the conversation impossible to avoid. In

The attack happened at 3:17 AM on a Tuesday. A healthcare startup’s AWS root account fell to a sophisticated phishing campaign that bypassed their SMS-based MFA. Within hours, attackers had spun up cryptocurrency mining instances across multiple regions and exfiltrated patient data from their RDS databases. This scenario plays out more often than AWS customers

The notification arrived at 3 AM: “Critical SOC 2 audit finding – unauthorized data access detected.” What started as a routine quarterly review had uncovered a fundamental architectural flaw that threatened the company’s largest enterprise contract. The issue wasn’t a security breach or a failed control—it was an architectural decision made eighteen months earlier that

Machine learning engineers know the frustration well. You’ve spent weeks perfecting a model that achieves impressive accuracy in training, only to discover it crawls when deployed for real-time predictions. The choice becomes stark: accept poor performance or spend months manually optimizing for your target hardware. Amazon SageMaker Neo eliminates this painful trade-off entirely. The service

When nearly half of senior executives admit they can’t see what’s in their software supply chain, we have a problem. A new global survey of 1,500 C-suite and senior executives reveals that 49% lack the visibility needed to understand their software supply chain risks. More troubling: 80% of those with poor visibility experienced a breach

Serverless computing started in the cloud, but it’s not staying there. A recent special issue in Ad Hoc Networks explores how researchers are combining edge computing with serverless architectures, and the results suggest we’re about to see a fundamental shift in how distributed applications work. The research, led by teams from institutions across India, Australia,