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“Above the Trend Line” – Your Industry Rumor Central for 11/20/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Book Review: Weapons of Math Destruction by Cathy O’Neil

Normally the books I review for insideBIGDATA play the role of cheerleader for our focus on technologies like big data, data science, machine learning, AI and deep learning. They typically promote the notion that utilizing enterprise data assets to their fullest extent will lead to the improvement of people’s lives. But after reading “Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy,” by Cathy O’Neil, I can see that there’s another important perspective that should be considered.

Interview: Ayush Parashar, Co-Founder and Vice President of Engineering at Unifi Software

I recently caught up with Ayush Parashar, Co-Founder and Vice President of Engineering at Unifi Software, to discuss the role and value of metadata as enterprises embrace self-service access to data. Unifi leverages metadata in almost every aspect of what they do. From delivering an elegant user experience to powering AI, it’s a key asset in supporting the capabilities and functionality they are able to deliver to a business user.

“Above the Trend Line” – Your Industry Rumor Central for 11/8/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

TOP 10 insideBIGDATA Articles for October 2017

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels. We’re happy to oblige! We understand that busy big data professionals can’t check the site everyday.

Intel’s New Processors: A Machine-learning Perspective

Machine learning and its younger sibling deep learning are continuing their acceleration in terms of increasing the value of enterprise data assets across a variety of problem domains. A recent talk by Dr. Amitai Armon, Chief Data-Scientist of Intel’s Advanced Analytics department, at the O’reilly Artificial Intelligence conference, New-York, September 27 2016, focused on the usage of Intel’s new server processors for various machine learning tasks as well as considerations in choosing and matching processors for specific machine learning tasks.

Deep Learning – Theory and Applications

The video presentation below, “Deep Learning – Theory and Applications” is from the July 23rd SF Machine Learning Meetup at the Workday Inc. San Francisco office. The featured speaker is Ilya Sutskever who received his Ph.D. in 2012 from the University of Toronto working with deep learning luminary Geoffrey Hinton.

Dataguise Delivers Strong Level of Support for GDPR Right of Access and Erasure Requirements with Enhanced Product Suite

Dataguise, a leader in data-centric audit and protection (DCAP) software, announced support for General Data Protection Requirement (GDPR) Article 17 (Right to Erasure or Right to be Forgotten) and Article 15 (Right of Access by the Data Subject) in the company’s next generation DCAP software suite. The latest version of the machine learning powered solution is compatible with all popular enterprise and cloud data store environments and widely deployed by the Global 2000 in support of GDPR requirements.

“Deep Learning” Book Chapter Walk-Throughs by Ian Goodfellow

Here’s a tremendous learning resource for Deep Learning practitioners – a complete set of video walk-through presentations for each chapter from the recent book “Deep Learning” by Goodfellow, Bengio, and Courville. This book is considered one of the finest texts on the subject. The video series is an excellent way to advance through all the material in the book.

“Above the Trend Line” – Your Industry Rumor Central for 10/23/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.