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Maximizing Sponsorship ROI with SAP Brand Impact and NVIDIA

There are many challenges faced with sponsorship ROI. Employees face unreliable measurements, time-consuming analysis, and limited media coverage. How will new technologies influence sponsoring? With the introduction of the V100 32GB customers now have a platform that gives them flexibility with additional GPU memory than what was available last year. With additional GPU memory customer can now spend more time training models and less time optimizing the models to fit into memory. In terms of performance SAP brand impact on DGX-1 with v100 32G allowed them to use a more complex model Resnet-152 with 152 layers that resulted in a 40% reduced error rate. That is a dramatic boost in accuracy. Learn more here: NVIDIA and SAP: www.nvidia.com/sap NVIDIA at SAPPHRIE Now 2018: http://www.nvidia.com/object/sap-sapphire.html SAP Brand Impact Blog: http://bit.ly/2LHn9UU SAP Brand Impact Solution Brief: http://bit.ly/2sqyf7U

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Maximizing Sponsorship ROI with SAP Brand Impact and NVIDIA

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  1. Maximizing Sponsorship ROI with SAP Brand Impact

  2. The Challenges of Sponsorship ROI Management 7 major EU/US leagues 5146 games per year Unreliable measurements Time-consuming analysis Limited media coverage >15k hours of videos How will new technologies influence sponsoring? 2

  3. SAP Brand Impact The Business Impact of Marketing and Sponsorship in Video Content SAP CloudPlatform Telecom / Broadcasters Media Rights Owners SAP Brand Impact SAP Computer Vision Engine OTT, iPTV, VOD, Video Archives Time Labeled ExposuresData Recorded Video SCP / AWS 1 Powered by NVIDIA DL Computing Platform Exposure Analytics UI Business Insights Time Labeled ExposuresData Media Agency Business Data HTTP Ratings/Viewer Behavior/Customer profile 2 SAPAnalytic Solutions Time Labeled Business Data HANA, HybrisMarketing, Analytics Cloud 3

  4. VOLTA PERFORMANCE ADVANTAGE Double the detection performance with the same power consumption Frames per second at 720p SAP Brand Impact 400 SAP Inference Engine 330 Power 300 Consumption: 1.2kw/h 200 150 TensorRT 3 100 CUDA 9 0 P100 V100 NVIDIA DGX-1 PERFORMANCE GAIN: 2-2.5X 4

  5. DRAMATIC BOOST IN ACCURACY WITH LARGER, MORE COMPLEX MODELS SAP Brand Impact on DGX-1 (32 GB) for Object Detection V100 (16 GB) V100 (32 GB) VGG-16 (16 Layers) ResNet-152 (152 Layers) More Complex Models Now Possible Dramatic Boost in Accuracy 40% Reduced Error Rate Dataset: Winter Sports 2018 Campaign; high definition resolution images (1920 x1080) 5

  6. LEARN MORE NVIDIA and SAP: www.nvidia.com/sap NVIDIA at SAPPHRIE Now 2018: http://www.nvidia.com/object/sap-sapphire.html SAP Brand Impact Blog: http://bit.ly/2LHn9UU SAP Brand Impact Solution Brief: http://bit.ly/2sqyf7U

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