In the presentation below, data scientist, author (“Applied Predictive Modeling” with Kjell Johnson) and R caret package developer Max Kuhn sits down for an in-depth interview with Eduardo Arino de la Rubia sponsored by our friends over at DataScience.LA. They discuss the art and science of predictive modeling in the real world, the multifaceted and […]
49% of organizations see eDiscovery for endpoint data as their highest governance priority in the next two years. A new approach for governing information is a necessity with the rise of mobility. Our friends over at Druva created the new infographic below depicting the problem with traditional data governance.
Data Science is the key to unlocking insight from Big Data: by combining computer science skills with statistical analysis and a deep understanding of the data and problem we can not only make better predictions, but also fill in gaps in our knowledge, and even find answers to questions we hadn’t even thought of yet.
In the thought-provoking video below, Professor Yann LeCun, Director of AI Research at Facebook, sat down for a fireside chat at December 2014’s edition of Data Driven NYC to discuss deep learning and the future of artificial intelligence.
As 2014 draws to a close, here at insideBIGDATA we’re trying to cool our heels a bit to reflect on the amazing year we had for Big Data. We thought it would be interesting to put together a 2015 Predictions article that included perspectives from many of our new (and old) industry friends. Below, is a compilation of some of the most compelling predictions we heard.