October 2019
Ground segment transformation - convergence of NewSpace and the cloud
... can run on top of the fresh data. By placing on-premise cloud infrastructure, such...Big data analytics, machine learning and artificial intelligence (AI) applications require large amounts of data to provide great solutions. Space-originated data...
February 2020
Debunking the myths on space patents
... 2017, and almost half of them (49 percent) came from big companies such as Boeing or Airbus. The numbers make no sense ...experts believe that technology such as machine learning and big data will eventually pave the way to achieve this goal. Interestingly...
October 2020
Pandemic impacts - the state of the ground segment
... Stack and virtual machines). This ‘edge computing’ offering proves especially useful for big data applications that require low-latency space data (e.g. complex analytics, artificial intelligence and machine learning). Cybersecurity Improving the...
April 2021
Predicting dengue fever outbreaks from space
... team for dengue forecasting and was used very successfully to generate positive and energetic stakeholder engagement. Big data’ integration with a spatio-temporal information architecture - the D-MOSS system is built around an advanced information...
September 2017
Australia’s ambitious home-grown space industry
... category’ of users: organisations with remote operations that need remote M2M connectivity for ‘high value small data’ rather than broadband big data. The new paradigm is therefore switching from always-on broadband systems to highly dispersed small...
November 2018
Monitoring illegal rainforest deforestation
...one way of resolving these problems to deliver accurate and timely data. The equatorial region is home to the most important rain... platform will generate a huge set of images (big data) at different illumination levels, which will demand sophisticated...
