Presentation of Platforms, Data & Applications

Presentation of Platforms & Data

> SAP's spatial and geo capabilities - Ingo Peter, SAP

From managing flood to the digital transformation of palm trees, cloud technology seems to be moving from being an efficiency improver to a default platform of creating new business models. Dr. Ingo Peter will explain SAP’s spatial and geo capabilities and as well as the necessary cloud technologies such as drone images, temperature meter and sensors analysis in conjunction with this precision farming use case.

> Data power by bbp geomatik ag - Martin Probst, bbp geomatik AG

bbp geomatik ag is official distributor for the following global data suppliers:

  • TomTom: routable road network and further data sets for mapping, online access via portals, historical and real-time traffic data
  • HERE: routable road network and further data sets for mapping, online access via portals, in-door navigation
  • MB-International: market data, purchasing power, administrative boundaries

> geodienste.ch – cantonal geodata from a single source - Dominic Kottmann, KKGEO

geodienste.ch is THE intercantonal portal to obtain geodata and -services. It aggregates and provides geodata managed by the cantons and municipalities. We give an insight to our offers and show some user-friendly applications already using geodienste.ch.

> Vector Tiles for official data at Swisstopo - Raphael Bovier

Vector tiles open up new opportunities for displaying geodata online. This technology creates light and quick maps. The “light base map” from swisstopo is now in the test phase. Use it for your analyses and applications. 

> HERE Open Location Platform - Christopher Hochmuth, HERE Technologies

A single place to find, build and share location data and services. Powerful developer tools and neutral data marketplace. One Place for mandy needs.

> Discover, Use, Make and Share Maps - Mark Wigley, Esri Schweiz AG

Esri pioneer’s problem solving within a Geographical Information System (GIS), and are the global market leaders in GIS, helping over 1 million customers in all related fields since 1969.
We build ArcGIS, the world’s most powerful mapping and spatial analytics software and strongly believe location intelligence can unlock data’s full potential in every organisation.
The Esri Platform helps you Discover, Use, Make, and Share Maps from Any Device, Anywhere, at Any Time and the ArcGIS Living Atlas of the World is the foremost collection of geographic information from around the globe which includes maps, apps, and data layers to support your work.

Presentation of Applications

> Combining business and geo data at ASFiNAG - Ingo Peter, SAP

ASFiNAG is the company in Austria responsible for security and maintenance of motorways and roads. In this speech you will discover how ASFiNAG gets insights by combining business data and GIS data. These new findings are in turn used for strategic traffic development and improved security on roads. The focus of this speech will be to outline what data is used and what the business outcomes were.

> Compelling examples for traffic analyses - Francine Constantin, bbp geomatik ag

bbp geomatik ag is presenting examples of analyses in connection with its geodata portfolio. The analyses range from multimodal accessibility in terms of time, distance or performance kilometres to bottleneck, origin-destination analysis on the road network as well as traffic monitoring. A novelty is TomTom's new "MOVE" portal, which allows the user to directly access the extensive database and to perform easy-to-use traffic analysis.

> Creation of 3D-model for noise pollution cadastre in Canton Aargau - Christa Stephan, Grolimund Partner

We illustrate the challenges in creating a 3D-model to be subsequently used for the creation of a noise  pollution cadastre, using canton Aargau as an example (~1500km2).
The model includes such detailed elements as bridges and noise protection barriers. The data is obtained  from a variety of different sources and formats and therefore requires a process of homogenization  before incorporating into the model. It is important that quality control is undertaken at all stages  of the process.

> Business- and spatialdata analytics for insurance sales force - Philippe Studer, enolyst

The insurance sales force needs specific information about companies to exploit the sales potential. The enolyst platform combines the automatic processing of publicly available information and the integration of spatial data. The result is a data service that is exactly customized to the needs of the insurance sales force.

> Performing Spatial Analyses in the context of Natural Hazards - Nicolas Lenz, geo7

Dealing with Natural hazards belongs to the core business of insurance companies, real estate managers or the public administration. Many players rely on products from geo7 to know their exposition to natural hazards or to estimate risk and damage potential. geo7 possesses long-lasting experiences in hazard and risk assessment and knows how to model and simulate these topics using techniques from spatial analysis.

> Searching for Spatial Potentials in Real Estates - Patrick Schirmer, UrbanDataLab UDL

Scouting and due dilligence in the real estate industry require detailed local knowledge, which is costly and risks to be subjective. The ETH-SpinOff  "UrbanDataLab" combines Geoprocessing, BigData and Machine Learning to propose an objective and scalable solution for this process. Core of the approach is the description of locations in more than 100 dimensions, which are used to predict user-centric demands.

> How a GIS Platform can Power Data Science - Mark Wigley, Esri Schweiz AG

Recently we have harnessed our Spatial Analysis expertise with Data Science using AI, ML and Deep Learning as well as many open libraries and frameworks. ArcGIS is also now working together with R which is a powerful language for solving data science problems. By building cutting edge statistical models with R, and using ArcGIS for visualization and analysis, you can have the best of both worlds.
Also we have worked together with Microsoft to produce the Geo AI Data Science VM which is an extension to the Windows Server 2016 edition of the Microsoft Data Science Virtual Machine (DSVM) on Azure. Python and R interfaces to ArcGIS Pro are pre-configured on the Geo AI Data Science VM, enabling programmatic access to geo-spatial analytics within your AI applications out of the box.