IBM has revealed a major revamp of its PowerAI tool, which uses deep learning frameworks and building block software to simplify the deployment of AI and machine learning by businesses. Four key new features have been introduced that focus on machine vision, data preparation, integration with the Google TensorFlow deep learning framework and model development, which makes it easier to fine tune learning processes and parameters. The first is an improved version of the Machine Learning Architecture (MLA), which was released in 2016.
IBM has revealed a major revamp of its PowerAI tool, which uses deep learning frameworks and building block software to simplify the deployment of AI and machine learning by businesses. Four key new features have been introduced that focus on machine vision, data preparation, integration with the Google TensorFlow deep learning framework and model development, which makes it easier to fine tune learning processes and parameters. The package will provide customers with a far more configurable solution than is currently available with IBM's flagship "turnkey" AI product, Watson.