New features of artificial intelligence automation

IBM recently announced the launch of AutoAI, another new feature on IBM Watson Studio, designed to help companies automate the design, optimization, and management of artificial intelligence. In this way, data scientists can free up time to design, test, and deploy machine learning models.

New features of artificial intelligence automation

The new AutoAI function is specifically designed to accelerate the development of artificial intelligence in enterprises, and automate those time-consuming data preparation and preprocessing steps, such as model development and functional engineering. Currently, enterprises can use this feature in Watson Studio based on IBM cloud. AutoAI was launched to enable users to more easily build data science and artificial intelligence models using hyperparameter optimization capabilities. In addition, AutoAI also includes a powerful set of enterprise-level data science models, such as gradient enhanced trees, to help users quickly expand machine learning experiments and complete deployment.

The AutoAI series also includes IBM Neural Networks Synthesis (NeuNetS), which debuted last fall and is currently in the beta phase of the Watson Studio project. This technology enables users to automatically synthesize customized neural networks through artificial intelligence to quickly track the development of deep learning models. NeuNetS enables users to choose in terms of optimization speed and accuracy, observe the construction of models in real time, and conduct self-training.

Watson Studio AutoAI leverages key technologies developed by the IBM Research Institute and is based on many automation functions that IBM has been developing and providing for many years, providing a variety of solutions including IBM Watson Assistant, IBM Watson Discovery, and IBM Watson Machine Learning. A degree of automation speeds up and simplifies extremely time-consuming tasks and links, enabling users to focus more quickly on higher-value tasks.