To Experiment with AI, You Should Use GitOps

Artificial intelligence (AI) models are created and updated at an increasing rate, making it clear that data science teams need to experiment at a much faster speed. However, owing in part to the advent of digital business transformation, that there are hundreds of possible use cases for AI models in any organisational IT system. Today, it’s difficult to imagine a new software programme that doesn’t contain some form of artificial intelligence. Unfortunately, the demand for AI capabilities has outpaced the capacity of data science teams to meet it. For this issue, the ideal solution would be for people to realise that AI models and the components used to build them are just another type of a software asset.