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Many businesses recognise the benefits of Artificial Intelligence (AI) and Machine Learning (ML) for boosting the potential of their data. This trend has been growing over the last few years. A Machine Learning project requires data scientists to implement machine learning models. In today’s market, more demand than supply has meant data scientists can often be expensive to hire which means getting ML projects off the ground can be tedious in terms of costs and time spent on implementing. This is where the solution accelerators come in handy by accelerating ML projects from an idea to a proof of concept within weeks. This article hopes to introduce the concept of accelerators to anyone thinking of taking on a machine-learning project.