Addressing The Complexity Of AI And Edge Operationalization
Red Hat News, Wednesday, August 14th, 2024
With today's artificial intelligence (AI) hype, there can be a lot to digest. Each day brings a new product, new model or a new promise of fault detection, content generation or other AI-powered solution.
When it comes to operationalizing an AI/machine learning (ML) model, however, bringing it from training to deployment at the edge is not a trivial task. It involves various roles, processes and tools, as well as a well-structured operations organization and a robust IT platform to host it on.
AI models are now flourishing everywhere but this raises the question: how many of them are operationalized solutions with a robust AI model training, versioning and deployment backend?