AWS Continues AI Push for Cloud Services. Amazon Web Services Inc. (AWS), a cloud, was quick to use machine learning, deeplearning and other artificial intelligence technologies in order to improve its cloud services. It has continued its AI push with a new telecom service as the latest example. Yesterday, AWS introduced Machine Learning for Telecommunication. This framework is described as “an end-to-end machine-learning (ML) process that includes ad-hoc data exploration and data processing, feature engineering, model training and evaluation, and model testing and evaluation.” It targets the telecommunications sector with a customized dataset that illustrates the use of machine learning algorithms to test and train models for predictive analysis in telecommunication. The company’s fully managed ML services, Amazon SageMaker, and the open-source Web application Jupyter Notebook are used in the service. This allows developers to create and share live code, equations and narrative text. AWS announced that customers can use the notebooks to create their own ML models and modify the Jupyter notebooks to suit their needs. AWS also made these announcements in the last week to further demonstrate its AI push.

AWS Deep Learning AMIs now support Chainer 5.0. AWS announced on Nov. 5: “The AWS Deep Learning AMIs (for Ubuntu and Amazon Linux)…

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