International Data Corporation (IDC) reported that the global datasphere will grow from 33 zettabytes in 2018 to 175 zettabytes by 20251. This trend becomes more and more complicated with the variety and velocity of data growth, and it continuously changes the ways data is collected, stored, processed, and analyzed. New analytics solutions, including machine learning, deep learning, and artificial intelligence (AI), and new architectures and tools are being developed to extract and deliver value from the huge datasphere.
Tag: open source
This article shares a collaborative initiative between two open-source software, Intel Analytics Zoo and Alluxio, in accelerating deep learning on Apache Spark in the cloud environment. We propose a new architecture for training deep learning models in a hybrid cloud environment and demonstrate its performance benefits through standardized benchmarks
In this panel, creators of open source projects share their stories from why they started the project to the challenges they encountered on the way.