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

Big Data and AI Are About to Make Your Phone Scary Smart

How convenient would it be to have a smart superphone that can carry out tasks autonomously — even while offline? We’re not just talking about random tasks like updating email or displaying social alerts. We’re talking about full-blown actions like making calls, sending messages and more. The idea sounds pretty crazy, right? Believe it or not, it may soon be

2017 Is the Year of AI. Or Is It?

The media often likes to proclaim “The Year of This” or “The Year of That.” With the greater attention given to advancing capabilities in artificial intelligence and machine learning, it seemed like a no-brainer to declare 2017 “The Year of AI.” However, in the interest of truth and the pursuit of all things real, it appears we may have been

The Difference between AI, Machine Learning and Deep Learning

The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. In this guide, we take a high-level view of AI and deep learning in terms of how it’s being used and what technological advances have made it possible. We

Why Deep Learning, and Why Now

Deep learning is all the rage today, as companies across industries seek to use advanced computational techniques to find useful information hidden across huge swaths of data. While the field of artificial intelligence is decades old, breakthroughs in the field of artificial neural networks are driving the explosion of deep learning. Attempts at creating artificial intelligence go back decades. In

All Eyes On AI in 2017

 This might be the easiest 2017 prediction to make: Artificial intelligence will continue to generate big headlines and command a considerable share of the corporate pocketbook as companies look to bolster their products and services with more automated decision making and human-like qualities. As we start the New Year, one of the big trends that nearly everybody in the big

The Growth of Artificial Intelligence in E-commerce

Whether Artificial Intelligence (AI) is something you’ve just come across or it’s something you’ve been monitoring for a while, there’s no denying that it’s starting to influence many industries. And one place that it’s really starting to change things is e-commerce. Our friends over at RedStag Fulfillment put together the compelling infographic below where you’ll find some interesting stats and