Marceu Martins has spent 25 years working in parts of technology where failure is not abstract. In the systems he designs, a 1% error is not a minor defect or an acceptable edge case. It represents systemic exposure. Across global supply chains, semiconductor logistics, and telecommunications infrastructure, even small inconsistencies can propagate across interconnected systems. […]<br /> This story continues at The Next Web [...]
When OpenAI went down in December, one of TrueFoundry’s customers faced a crisis that had nothing to do with chatbots or content generation. The company uses large language models to help refill pre [...]
Here is a scenario that should concern every enterprise architect shipping autonomous AI systems right now: An observability agent is running in production. Its job is to detect infrastructure anomali [...]
The most expensive AI failure I have seen in enterprise deployments did not produce an error. No alert fired. No dashboard turned red. The system was fully operational, it was just consistently, confi [...]
AI coding agents are rapidly accelerating data engineering by generating transformations, pipelines, orchestration workflows, validation tests, and infrastructure configurations from prompts. However, [...]
The next generation of Apple’s CarPlay interface is finally here, available exclusively for Aston Martin drivers in the US and Canada initially. Over the next few weeks, existing Aston Martin vehicl [...]
There is a category of production incident that engineering teams are not tracking yet — because it doesn't fit any existing postmortem template. The agent initiated an action. The action was t [...]
Not every company can or should build their own frontier AI language model. However, the harness controlling the model is something that most enterprises can and should customize for their specific pu [...]