Machine Learning, AI, Cloud Architecture and On-Board Processing
Advanced network management requirements and the abundance of raw data generated by Earth Observation and Remote Sensing platforms have led integrators and data providers into seeking forward-looking technologies. A shift from big data collection to real-time data consumption is being witnessed and 2019 will mark the tipping point as intelligent applications — not people — become the primary consumers of data. In instances where techniques can be aggregated (e.g. in on-board AI), what limitations apply? How should satellite manufacturers determine appropriate on-board processing power to adequately provide this support for clients? How do new developments in terrestrial cloud architecture affect the EO market?