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Reader Survey: Are AI/Machine Learning/Deep Learning in Your Future?

Please participate in our new audience survey on AI/machine learning/deep learning and give us your opinions about whether your company has any plans to become an AI Enterprise?

Field Report: O’Reilly Artificial Intelligence Conference

In this field report, contributor Howard Goldowsky provides a compelling play-by-play review of the recent O’Reilly AI Conference in NYC September 26-27. Fascinating reading for all data scientists!

Interview: Jim McHugh, GM of the Deep Learning Group at NVIDIA

I recently caught up with Jim McHugh, GM of the Deep Learning Group for NVIDIA, from the floor of Strata + Hadoop World 2016 NYC to discuss analytics, the overall AI evolution and how there’s a lot of synergy between the two.

The Rise of Deep Learning for Healthcare and Life Sciences

The insideBIGDATA Guide to Healthcare & Life Sciences is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. This segment focuses on the rise of deep learning.

UCHealth Improves Surgeons’ Utilization of Operating Rooms with Machine Learning Technology

UCHealth announced its inpatient operating room (OR) utilization at University of Colorado Hospital has seen a 16 percent increase for the blocks exchanged through mobile block swaps, in just three months with the launch of smart block scheduling based on predictive analytics.

Big Data Machine Learning: Telco Fraud Detection Points the Way

In this special guest feature, Padraig Stapleton, VP of Engineering at Argyle Data discusses how the use of machine learning can help mobile operators like Verizon, BT, and others use big data and machine learning technologies to help detect and stop, cyber gangs in real-time, from stealing $billions via global mobile fraud.

AI is Crushing It, But Why Now?

This is the year of artificial intelligence, when the technology came into its own for mainstream businesses. Please give us your opinion about whether your company has any plans to become an AI Enterprise?

Predictive maintenance: How data can increase production

Predictive maintenance involves gathering targeted data for analysis, the results of which will help anticipate potential failures before they occur. Companies opt for this type of maintenance to avoid predictable incidents and repair equipment, assembly lines, or machinery with minimum impact on their operations. “Having to repair a faulty product is disastrous for a manufacturer’s brand image. But shutting down […]

Visualizing and Understanding Deep Neural Networks

In this presentation, Matthew Zeiler, Ph.D., Founder and CEO of Clarifai Inc, speaks about large convolutional neural networks. These networks have recently demonstrated impressive object recognition performance making real world applications possible.

Finding and Treating Sufferers of Rare Diseases: Big Data Techniques at Work

In this special guest feature, Dr. Ritu Chadha, IEEE Senior member, Executive Director at Vencore Labs, explains one commercial application of machine learning and information theoretics, among other techniques, to big data to reduce human suffering.