Think app lift-and-shift was bad? Data migration can ruin machine learning - SiliconANGLE

Lift and shift has not been the greatest friend to those migrating to cloud. Many hustled legacy applications to cloud to little, if any, positive effect; some wound up "repatriating" apps once the bill arrived. Likewise, valuable data from on-premises systems can't be dumped cold into the cloud; after all, next-gen machine-learning applications in cloud stand or fall on well-governed, quality data. Older systems hold operational-processing data that helps machine-learning algorithms -- in cloud or on-prem -- make predictions. However, there is a generational gap to bridge between old data and advanced analytics technologies.