AutoML (Automated Machine Learning) is a term used in the fields of artificial intelligence, big data, smart data and digital transformation. It describes the automation of processes that previously only experts could carry out - namely the development, selection and optimisation of machine learning models.
Normally, data scientists need a lot of experience to recognise patterns in large amounts of data and make predictions or decisions based on them. With AutoML, however, this can be done without in-depth expert knowledge. Specialised software takes care of many individual steps, such as cleansing data, selecting suitable methods and fine-tuning the models.
A simple example: an online retailer wants to predict which products will sell best. With AutoML, the company can use an analysis tool without expensive experts that analyses the existing sales data, automatically creates a suitable forecast model and adjusts it precisely. In this way, valuable knowledge is gained from data quickly and easily.
AutoML (Automated Machine Learning) makes access to artificial intelligence much easier and supports companies in making data-based decisions - even without specialised knowledge in the field of data analysis.
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