Artificial intelligence and Earth Imagery from space. VEOWARE startup corporate strategy.
Salvador, Lucas
Promotor(s) : Ghilissen, Michael
Date of defense : 10-Nov-2017 • Permalink : http://hdl.handle.net/2268.2/4305
Details
Title : | Artificial intelligence and Earth Imagery from space. VEOWARE startup corporate strategy. |
Author : | Salvador, Lucas |
Date of defense : | 10-Nov-2017 |
Advisor(s) : | Ghilissen, Michael |
Committee's member(s) : | Ernst, Damien
Pirard, Theo |
Language : | English |
Keywords : | [en] space industry [en] earth observation [en] very-high resolution [en] corporate strategy [en] artificial intelligence |
Discipline(s) : | Business & economic sciences > Strategy & innovation |
Target public : | Researchers Professionals of domain Student General public Other |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master en sciences de gestion, à finalité spécialisée en management général (Horaire décalé) |
Faculty: | Master thesis of the HEC-Ecole de gestion de l'Université de Liège |
Abstract
[en] This work introduces the state-of-the-art for very-high resolution Earth imagery from space, and the position of the Veoware startup in this sector.
Earth observation has never been so intense than now. Many private actors emerge with even better images than before and with specialized and innovative web services. The growing interest for smaller satellites at a more affordable cost has driven these players to enter the market and propose new products and services to customers. The need is justified by many clients, who want to monitor frequently areas of the Earth with a high resolution. Applications can be transport vehicles counting to assess economic trends or insurance claims, trade intelligence to get a picture of the global economy or urban planning for example. Because of the huge amount of data created, powerful algorithms are necessary. Thereof the artificial intelligence is now a fully integrated part of space imagery. It helps to perform pattern recognition automatically for example.
In this report we are interested in the following question: how will Veoware evolve in the Earth observation market? In particular some hints are proposed as to develop added value services with artificial intelligence.
Veoware evolves in this environment and propose competitive solutions on the market. In particular the founders are developing a more agile satellite that is able to shoot in between the clouds, blank pixels that the customer does not want to pay for. Together with a flexible service offer and disruptive technology, the startup can keep an advantage in the competitive environment.
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