Cloud as a Story - Vunvulea Radu

When we talk about Artificial Intelligence today, it feels like a revolution. Everyone wants to try it, but the reality is hard: studies show that up to 80% of AI projects never reach production. Often, the reason is not the model itself but the team behind it. Too many companies start with a clever prototype and then get stuck, unable to deploy or monitor at scale. This is where Microsoft Azure, together with the right team shape, makes the difference. More Than a Model: A Full Cloud AI Solution An AI solution in the cloud is never just a model. It is a complete ecosystem of applications, infrastructure, data pipelines, and security. On Azure, we can connect all of this. Azure Machine Learning gives us model lifecycle management, Azure OpenAI Service brings natural language power, and Cognitive Services add vision or speech. This runs on a secure, automated, and scalable cloud infrastructure. For business leaders, this means faster time to market and real outcomes, not just pilots. Fo...

  Cluj just hosted DevTalks , one of the biggest and most vibrant tech events in Transylvania. The event brought together thousands of developers, engineers, and innovators under one roof, and the energy was fantastic. I had the chance to take the stage and talk about something very close to my heart: how to build and structure teams for Cloud AI projects. We often talk about the technology — the models, the platforms, the automation — but what really makes or breaks success is the team. My message was simple: building AI in the cloud isn’t a one-person show. It takes AI/ML experts, data scientists, cloud and platform engineers, developers, and security specialists all working side by side. The real magic happens when you get the balance right and put automation and platform engineering at the core If I had to leave the audience with one idea, it’s this: “AI in the cloud is a team sport. When you get the structure right, innovation, scalability, and cost efficiency follow natur...