To the cloud and back: Why businesses are repatriating ML workloads

The last few years have seen many enterprise companies rush to the cloud as part of their growth/agility strategy and in an effort to become known for their "cloud first" approach. In fact, a study from Canalys shows companies spent $107 billion in cloud infrastructure globally in 2019. However, as the realities of the cloud are becoming better understood, there has been a rise in companies moving their workloads off from the public cloud. In fact, a recent IDC report shows 80% of companies have plans to repatriate at least some of their workloads that are currently in the public cloud. After going through an initial enthusiasm for the benefits of the cloud, it seems many IT managers are starting to realise that deciding where to run different workloads is not always a straightforward decision and a cloud only approach is less appealing than first thought.