The Next Data Revolution: Intelligent Real-Time Decisions

Over the past decade, big data analysis and applications have revolutionized practices in business and science. They enabled new businesses (e.g., Facebook, Netflix), to disrupt existing industries (e.g., Airbnb, Uber), and accelerated scientific discovery (genomics, astronomy, biology). Today, we are seeing glimpses of the next revolution in data and computation, driven by three trends. First, there is a rapidly growing

Meet Ray, the Real-Time Machine-Learning Replacement for Spark

Researchers at UC Berkeley’s RISELab have developed a new distributed framework designed to enable Python-based machine learning and deep learning workloads to execute in real-time with MPI-like power and granularity. Called Ray, the framework is ostensibly a replacement for Spark, which is seen as too slow for some real-world AI applications, and should be ready for production use in less