Deep learning operations (DeepOps) is a term from the categories of artificial intelligence, automation, big data and smart data. It describes all processes and tools that help to efficiently develop, provide and monitor deep learning models in companies.
Deep learning is a special form of artificial intelligence in which computers learn to recognise patterns independently with the help of large amounts of data - for example in image recognition or speech recognition. In order for these AI models to work reliably in everyday life, they need to be regularly trained, updated and monitored. DeepOps ensures that this process runs smoothly and automatically.
A simple example: an online shop wants to use deep learning to personalise product recommendations for its customers. DeepOps ensures that the AI system has access to current customer data at all times, that new models are tested automatically and that potential errors are recognised quickly. This means that the recommendation service always remains reliable and up-to-date without the need for constant manual intervention.
Deep Learning Operations (DeepOps) helps companies to deploy modern AI solutions faster and more efficiently.
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