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Artificial Musician Builds New Melodies without Music Theory

The “deep artificial composer”, or “DAC” for short, generates brand-new melodies that imitate traditional folk music of Irish or Klezmer origin. It does so without plagiarizing already existing ones, since melodies it writes are as original as those produced by a human composer. The results were presented in April at this year’s edition of the Evostar conference. The DAC actually produces musical scores of melodies, symbolic music written using notation, and does not generate audio files.

Machine Learning Comes to Tour de France

Amaury Sport Organisation (A.S.O.), organizers of the Tour de France, and Dimension Data, the Official Technology Partner of the Tour de France, announced the introduction of machine learning technologies at this year’s Tour de France to give cycling fans across the globe an unprecedented experience of this year’s event. The race begins in Düsseldorf on Saturday and finishes at the Champs-Élysées in Paris on 23 July.

Big Data in Sports: Going for the Gold

In this contributed article, Eugene Rudenko, a senior online marketing specialist for Oxagile, a custom software development company, takes a look at the growing collection of big data technologies applied to the sporting world.

Big Data Use Case – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights

The insideBIGDATA technology use case guide – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise objectives can be challenging with a cloud solution ecosystem filled with alternatives. To make the cloud adoption process more straightforward, this white paper provided a number of areas for consideration when evaluating a cloud platform.

In Fantasy Football, as in Business, Speed-to-Action is a Competitive Advantage

In this special guest feature, Dan Wilmot, Sr. Architect at Pyramid Analytics, explores how to unlock opportunities previously hidden within the depths Fantasy Football data.

The Math Behind Basketball’s Wildest Moves

If basketball is of more interest to you than business intelligence, you’ll like this TED talk by Rajiv Maheswaran. If you want pithy examples of what algorithms and machine learning are, you’ll like Maheswaran’s talk even more. Algorithms are necessary to the functioning of any BI software, and machine learning has been called “the new BI.” Googling those terms is useful, but a little dull.

The Games Industry’s Journey Into Deep-Data

In this special guest feature, Mark Robinson, CEO of deltaDNA, looks at the challenges solved by big data in the games industry and the evolution of analytics which has enabled these changes.

How Viacom Built a Just-in-Time Data Warehouse

In the video presentation below from Spark Summit East 2016 conference, Viacom, the global media company, explains how they are using Apache Spark and Databricks to quickly adapt to their audience by building a just-in-time data warehouse.

Data Science at Ticketmaster

In the video presentation below, Jenn Webb, Managing Editor at Radar, interviews John Carnahan who serves as Executive Vice President of Data Science at Ticketmaster.

Interview: Valery Bollier, Founder and CEO of Daily Fantasy Sports Game Oulala

I recently caught up with Valery Bollier, Founder and CEO of Daily Fantasy Sports (DFS) Game Oulala, to discuss the big data revolution and fantasy sports. The iGaming industry is seldom linked with big data and data science, however Valéry Bollier chooses to contest this notion. He fleshes out the various do’s and don’ts of building a fantasy soccer game such as Oulala.