Technology Tracks

The 4th Industrial Revolution is associated with Cloud, Big Data, Internet of Things, Artificial Intelligence, and Analytics. These technologies are at varying degrees of maturity; some have been around for years but are finally hitting their stride, while others are maturing rapidly. One thing for sure, these technologies are closely associated with geospatial – either they directly benefit from location data or technologies, or directly empower geospatial business. In some cases, these technologies converge with geospatial to deliver solutions and have long-lasting impacts. Technology tracks at Geospatial World Forum 2019 will cover innovation and application of these technologies, and their future prospects in our industry.

Speakers

Artificial Intelligence3 Apr 2019 0900 - 1030 hrs
ModeratorAlessandro Annoni, Head, Digital Economy, Joint Research Centre, European Commission
Moderator
Alessandro Annoni
Head, Digital Economy
Joint Research Centre
European Commission
Henk Scholten, Chief Executive Officer, Geodan, The Netherlands
Henk Scholten Chief Executive Officer
Geodan
The Netherlands
Wouter Brokx, President, IMAGEM, The Netherlands
Wouter Brokx President
IMAGEM
The Netherlands
Prof Dr Dieter Fritsch, Research Professor and Professor Emeritus, University of Stuttgart, Germany
Prof Dr Dieter Fritsch Research Professor and Professor Emeritus
University of Stuttgart
Germany
Internet of Things3 Apr 2019 1130 - 1300 hrs
ModeratorHugh Mangan, General Manager, Business & Marketing, Ordnance Survey Ireland, Ireland
Moderator
Hugh Mangan
General Manager, Business & Marketing
Ordnance Survey Ireland
Ireland
Josef Strobl, Head, Department of Geoinformatics, Salzburg University, Austria
Josef Strobl Head, Department of Geoinformatics
Salzburg University
Austria
Jurgen MOSSGRABER, Head of Research Group, Architecture and Information Systems, Fraunhofer IOSB, Germany
Jurgen MOSSGRABER Head of Research Group, Architecture and Information Systems
Fraunhofer IOSB
Germany
Pavel Yalovol, VP Digital and Geo Solutions, Intetics, Ukraine
Pavel Yalovol VP Digital and Geo Solutions
Intetics
Ukraine
Big Data3 Apr 2019 1400 - 1530 hrs
ModeratorTim Trainor, Consultant | Former Chief Geospatial Scientist, U.S. Census Bureau, USA
Moderator
Tim Trainor
Consultant | Former Chief Geospatial Scientist
U.S. Census Bureau
USA
Dr Enrico Paringit, Executive Director, Philippine Council for Industry, Energy and Emerging Technology Research and Development (PCIEERD), Philippines
Dr Enrico Paringit Executive Director
Philippine Council for Industry, Energy and Emerging Technology Research and Development (PCIEERD)
Philippines
Hongmian Gong, Professor, Hunter College of City University of New York, USA
Hongmian Gong Professor
Hunter College of City University of New York
USA
Wassilios Kazakos, Head of Business Development, Disy Informationssysteme GmbH, Germany
Wassilios Kazakos Head of Business Development
Disy Informationssysteme GmbH
Germany
LiDAR Point Cloud: Smart Data Acquisition3 Apr 2019 1400 - 1530 hrs
Ronald van Coevorden, Advanced Solutions Manager EMEA, Trimble, The Netherlands
Ronald van Coevorden Advanced Solutions Manager EMEA
Trimble
The Netherlands
Dr. Ing. Bas Boom, Head of Data Analytics, CycloMedia Technology, The Netherlands
Dr. Ing. Bas Boom Head of Data Analytics
CycloMedia Technology
The Netherlands
Oscar Garcia, Sales Engineer (Application Engineer), FARO, Spain
Oscar Garcia Sales Engineer (Application Engineer)
FARO
Spain
LiDAR Point Cloud: Smart Application3 Apr 2019 1630 - 1800 hrs
Katerina Mekhlis, Chief Executive Officer, NeoCityLab, The Netherlands
Katerina Mekhlis Chief Executive Officer
NeoCityLab
The Netherlands
Dr. Rico Richter, Researcher, Hasso Plattner Institute, Founder, Point Cloud Technology, Germany
Dr. Rico Richter Researcher, Hasso Plattner Institute
Founder, Point Cloud Technology
Germany

KEY THEMES

Artificial Intelligence

The biggest opportunity for geospatial industry in AI is its core asset, which is geospatial data. It is widely acknowledged that 80% of all data that is generated are spatial in nature. So exploiting that data using automation through AI and deep learning comes naturally to creating solutions for rest of the basic sectors. AI is a great tool when it comes to imagery analysis. With the world flooded with data from satellites and a myriad of sensors, AI-driven applications can provide previously inaccessible insights on global-scale economic, social and industrial processes. AI and geospatial intelligence can converge to deliver solutions for improving precision farming, disease prediction, and predictive policing. For the businesses, they can help in planning, predicting demand spikes, identifying high-margin prospects, adding efficiency to the supply chain, and optimizing service delivery.

Cloud

The volume, variety and velocity of geospatial data is continually expanding. Storage, analysis and serving the information within an organization is becoming a challenge. The cloud’s increasing ability to store and distribute data has made it possible for organizations to better utilize their geospatial data, and for businesses to create products which describe our changing world in close to real-time. On top of this, cloud has made it significantly easier for geospatial data to be moved around, accessed from multiple places, pushed into manipulation pipelines and visualized at scale.

Big Data

IBM has reported that about 2.5 Quintillion bytes of data is generated every day and a huge chunk of this data is ‘location-tagged’. As more and more people go mobile, more ‘location-tagged’ data will be flowing into geospatial big data systems. On top of this, there are more and more satellite-based and sensed data becoming available. The key will be how to link geospatial data with other data and create application that can contribute to socio-economic growth.

IoT & Blockchain

Internet of Things is the inter-networking of physical devices, vehicles, buildings, and other items — embedded with electronics, software, sensors, actuators, and network connectivity that enable them to collect and exchange data. When integrated with geospatial technologies, the end products are transforming the way people work, move, live and play. Geocaching, fitness apps and Pokémon Go are a few popular examples of geospatial-IoT integrated products. Businesses use GIS and IoT technologies to combine a device’s location with its status and other important information. The IoT device can be placed on a valve, a switch, or any other asset, and those assets can be displayed on a map that provides context at macro levels as well as enabling users to extract high levels of detail. The approach delivers key inputs to support informed decisions and efficient business processes.

Blockchain

Blockchain is a continuously growing list of records, called blocks, which are linked and secured using cryptography. The Chain in Blockchain is the chain of transactions in the form of ledger entries about assets which could be money, imagery, data, maps, documents, etc. However, what actually is transacted in reality are tokens containing the metadata of the assets with the actual physical transfer happens separately. One area where Blockchain will find major use along with geospatial technologies is the Internet of Things. Today, IoT conjures up a mental image of a complex network of humans and objects all passing data to each other. For example, could an autonomous delivery van, which depends on sensors be hijacked and driven to a wrong location? Consider the data carrying the instructions as transactions. If the network is on a Blockchain, then the process of consensus would help validate the transactions and weed out the wrong instructions because the illegal transactions would be trapped. Other domains where Blockchain could play a role in geospatial terms are land transactions and data repositories.