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

1. Maximizing Sponsorship ROI
with SAP Brand Impact

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

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

4. 4
VOLTA PERFORMANCE ADVANTAGE
Double the detection performance with the same power consumption
SAP Inference Engine
SAP Brand Impact
TensorRT 3
CUDA 9
Frames per second at 720p
Power
Consumption:
1.2kw/h
0
100
200
300
400
P100 V100NVIDIA DGX-1
330
150
PERFORMANCE GAIN: 2-2.5X

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

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