2019 Cloud Native Machine Learning
Airflow and KubeFlow set to ease enterprise deployment of AI/ML
2018 has been an excellent year for machine learning, with frameworks such as PyTorch, Karas, Tensorflow and CNTK maturing in levels of stability and ease of use, sophisticated and academic concepts have become highly accessible to a wide range of developers. Anyone investing a few hours in technical tutorials can build a learner; yet, scaled production integration remains a pain point. However, 2018 saw significant advances in Cloud-Native and DevOps technologies.