Powerful New Tools Meeting Challenge of AI Software Development, Requiring Smooth Linking of Multiple AI Methods - AI Trends

Coders are busy these days as entire software infrastructures transition to the development and deployment of applications incorporating AI. Thankfully, there are powerful tools to help. Google Cloud, for example has recently added to its AI Hub launched in April in response to concerns about reducing redundant AI development efforts, and managing a growing number of machine learning tools. The added collaboration tools are aimed at promoting greater collaboration of data science and machine learning developers, as they manage their pipelines and trained models, as described in an account in Enterprise AI. Enhancements to the hub are said to allow great sharing of trained ML models and pipelines from the Kubeflow workflow automation tool.