Combination of geospatial analytics and machine learning is the key to effective solutions

As part of the first SAP Esri Spatial Hackathon, GIS developers, enterprise architects, data scientists, BI developers, and students got together to solve a variety of challenges through the use of geospatial analytics and machine learning technology. With the help of NextGen and the SAP Co-Innovation Lab – who ran the technology behind the hackathon – teams were given 40 hours to define the issue at hand and develop compelling platforms that provide an effective solution that can be applied in real-world scenarios while 89% of participants had no prior experience with SAP HANA Spatial. Finalist team, We're Working on It, was a corporate team from Southern California Edison (SCE), the primary electricity supply company for much of Southern California. This team developed a solution to predict grid usage for solar, using SAP HANA, ArcGIS Pro, and R-ArcGIS Bridge to show which parts of the grid may need modernization to maintain reliability and support clean energy. The picture below shows the SAP HANA as the enterprise geodatabase for ArcGIS Pro.