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TOP 10 insideBIGDATA Articles for June 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.

Peering into Neural Networks

Neural networks, which learn to perform computational tasks by analyzing large sets of training data, are responsible for today’s best-performing artificial intelligence systems, from speech recognition systems, to automatic translators, to self-driving cars. But neural nets are black boxes. Once they’ve been trained, even their designers rarely have any idea what they’re doing — what data elements they’re processing and how.

How R Powers Data Science at Microsoft

In this video “How R Powers Data Science at Microsoft” from the EARL 2017 conference in San Francisco (June 5-7, 2017), insideBIGDATA’s Managing Editor and resident data scientist Daniel D. Gutierrez chats with Vijay K. Narayanan – Director, Algorithms and Data Science Solutions, Microsoft.

“Above the Trend Line” – Your Industry Rumor Central for 6/26/2017

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: The Mathematical Corporation by Josh Sullivan and Angela Zutavern

As a data scientist, I know first hand how today’s enterprise has some catching up to do with engaging the mathematical foundations for capitalizing on an ever-increasing volume of data assets. This is why a new title is so important: “The Mathematical Corporation – Where Machine Intelligence and Human Ingenuity Achieve the Impossible,” by Josh Sullivan and Angela Zutavern. Sullivan and Zutavern are, respectively, senior vice president and vice president of Booz Allen Hamilton.

Want to Run Cassandra in a Container? You Need to Solve These 4 Problems First

In this contributed article, Gou Rao, Co-founder and CTO at Portworx, discusses how running the open source distributed NoSQL database Cassandra in a container requires some special considerations. If you can solve these problems, you’ll have gotten most of the way to a successful Cassandra deployment in containers.

Go for Big Data

Many of the hottest modern infrastructure projects are powered by the Go programming language, including Kubernetes, Docker, Consul, etcd, and many more. Go is turning into a go to language for devops, web servers, and microservices. One route to providing robust, performant, and scalable data processing within Go is to utilize the Intel® Data Analytics Acceleration Library (Intel® DAAL) within Go programs.

Introducing Flo – Bringing Deep Learning to Video Editing

Everyone loves to shoot videos but don’t know what to do with them. Editing videos is difficult, time consuming and a skillful job. NexGear Technology has built Flo – an intelligent camera and movie maker app that auto-edits raw video footage into short cinematic movies using deep learning and artificial intelligence. Flo combines machine learning, computer vision, and natural language processing to put together the interesting moments from your videos into a short cinematic movie.

Big Data – A Game Changer in the Music Industry

In this contributed article, content contributor Ravindra Savaram discusses the ways that big data is becoming transformative for the music industry. For a long time, the music industry is in need of a facelift and the advent of big data seems to fulfill this. The musicians might be provided with a more successful revenue model with the emergence of big data.

Interview: Patrick Moakley, Director of Marketing for HPC & AI at Lenovo

I recently caught up with Patrick Moakley, Director of Marketing for High Performance Computing (HPC) & Artificial Intelligence (AI) at Lenovo, to get his insights about this fast paced industry. Please view the video interview below to hear what Pat has to say.