SAP

Your Challenge


Pick one of the three different challenges below as your first step towards winning. Good luck!

Challenge #1

Spatial & Graph

In this challenge, we ask you to think about new ways of processing and visualizing topologies and networks combining the capabilities of Esri and SAP HANA. Please illustrate how to combine the graph and spatial capabilities of SAP HANA with the technology of Esri to achieve new innovative ways of network analytics.  See if you can show us the possibilities of these technologies and which customer scenarios can be solved?

 

Here are some links with resources you may find helpful in this challenge:

 

https://github.com/caesar0301/awesome-public-datasets#geospace-gis

 

http://wiki.openstreetmap.org/wiki/TIGER

 

https://www.ordnancesurvey.co.uk/business-and-government/products/os-open-map-local.html

 

http://snap.stanford.edu/data/index.html

 

 

 


Challenge #2

Sustain, create, optimize

In this challenge, we ask you to come up with new creative ways to improve and optimize daily business by using spatial analytics and geospatial intelligence... while also achieving sustainable development (SDG) goals of the united nations. Spatial analysis supports economic decision making and helps to run the business better. The SDG’s are separated into seventeen goals to end poverty, protect the planet and ensure prosperity for us all. How can we leverage the technologies of SAP and Esri to help companies to improve their business performance and fulfilling the SDG’s?

Here are some links with resources you may find helpful in this challenge:

 

http://www.un.org/sustainabledevelopment/sustainable-development-goals/

 

https://hub.arcgis.com/pages/open-data

 

http://geodata.grid.unep.ch/

 

http://www.fao.org/geonetwork/srv/en/main.home


Challenge #3

Geo machine learning

In this challenge, we ask you to think about how artificial intelligence can help analyze big amounts of spatial and business data. Just think about the massive amounts of generated locational data by sensors through UAV’s and satellites for instance. Geo-referenced data is everywhere and not fully leveraged in the business world. Please illustrate how we can use deeper learning such as neural networks in spatial analytics to solve existing challenges and problems in our world. Show how to combine and integrate these techniques with SAP and Esri technology.  Address the challenges and risks of these new technologies and how the technology can be applied in an innovative way for GIS and business processes.

Here are some links with resources you may find helpful in this challenge:

 

https://earthexplorer.usgs.gov/

 

http://sedac.ciesin.columbia.edu/

 

https://scihub.copernicus.eu/dhus/#/home

 

https://aws.amazon.com/de/public-datasets/spacenet/