Jeff Wike, DreamWorks Animation - HPE Big Data Conference 2016
01. Jeff Wike, DreamWorks, Visits #theCUBE!. (00:19)
02. Tell Us What You Do At DreamWorks. (00:36)
03. Take Us Back To Your First Animation To Where We Are Now. (01:05)
04. How Has This Changed The Role Of Animators. (02:21)
05. How Have You Trained People To Think Digitally. (03:17)
06. How Are You Using Analytics. (03:47)
07. When Did This Analytics Journey Begin. (04:59)
08. Are The Problems Visible To An Untrained Eye. (07:37)
09. How Has Technology Evolved Over The Course Of Movie Sequals. (08:14)
10. Do You Attempt To Have The Person Behind The Voice To Fit The Character. (10:42)
11. What Are Some Of The Films That Were You. (12:17)
12. Anything That You've Taken Away From This Event. (12:46)
Track List created with http://www.vinjavideo.com.
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Art meets Big Data: How DreamWorks is utilizing analytics in modern animation | #SeizeTheData
by Tim Hawkins | Aug 30, 2016
Over the years, animation has gone from traditional, 2D, hand-drawn artwork to software-designed, 3D projects utilizing full-scale computer rendering. DreamWorks Animation is at the top of the pack in this arena, and it is using Big Data analytics to help it produce the animation the public loves in the most efficient manner.
Jeff Wike, head of Research and Development at DreamWorks Animation, sat down with Dave Vellante (@dvellante) and Paul Gillin (@pgillin), co-hosts of theCUBE, from the SiliconANGLE Media team, during the HPE Big Data Conference 2016 at the Westin Boston Waterfront in Boston, MA, to talk about Big Data and the digital revolution that has transformed modern animation.
Where analytics fits in
While animation will never be completely free of some traditional creation techniques, such as hand drawing or shading (albeit with digital pencil), the modern process is entirely computerized. According to Wike, there are around half a billion digital files that are created by the time a film is done, from models to textures to animation curves. These files have dependencies, and the use of analytics is essential to ensuring these files are handled and routed properly according to those dependencies so that they can be rendered to the final product in an efficient manner.
“So when you think about all of that data, and what the dependencies are, being able to track and know where all of that data is, and be able to stage it to where the artists are, [not] only allows them to not sit around and wait but to be able to work immediately,” said Wike. “And that drives efficiency into the animation process.”
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