INTRODUCTION:Multi-disciplinary experts in the use of Artificial Intelligence and Quantum Computing to understand the potential of new forms of “big data analytics” associated with information received from remote sensing satellites and ancillary in-situ data. The session will explain the way in which this data is being managed now and how it can be enhanced to advance achievement of the UN’s 17 Sustainable Development Goals. Improved use of the space system can aid relief from hunger to health and education from environmental goals to clean energy, better urban planning, emergency relief and more. This discussion will explore not only potential new efficiencies that can come from enhanced data analytics but also examine new types of risks to be overcome, new standards that are needed, as well as new training and capability building needs to be met.
SESSION OVERVIEW:This is a global panel of experts that will address key advances in AI, Quantum Computing and High-Speed Data Analysis to use advanced Space Systems to meet the U.N. 17 Sustainable Development Goals for 2030. Experts will indicate how the use of Qubits and new high speed data analysis as enabled by Artificial Intelligence (AI) can enable new advances to all aspects of global change. The combination of these advanced technologies can provide new and near real time insights into climate change, adverse impacts on land, the atmosphere, rivers and the oceans, city planning, support tele-education, tele-health and tele-medicine, support agriculture, farming, fishing, and forestry, and dozens of other dynamics of change across the globe. The effective use of these new tools can aid in the attainment of most of the U.N. 17 sustainable development goals (SDGs). These satellite systems , when combined with new processing capabilities using AI and quantum computing, can enable high speed telecommunications and broadcasting, remote sensing and earth observation, navigation and precise timing, precise weather forecasting, emergency response and rescue, and many other space services. Space-based services can become significantly more powerful and rapidly responsive when assisted by high-speed data analysis provided by quantum computing and AI driven analytics. This process will allow the creation of a massive global databases that can allow in near-real time responses. These new capabilities can advise local, national, and international leaders as well as business, environmental, and safety officials of needed actions to be taken to lower pollution and protect the climate, produce more food, protect lives, increase safety, conserve vital resources, promote health and education, and aid development, planning, and conservation.
EXPECTED OUTCOMES:
- Overview of existing and coming space technologies that will be improved by use of artificial intelligence and quantum computing to process big data derived from satellite systems of today and the future.
- New ideas to meet the need for capacity-development and training in many countries to be able to use the power of these technologies effectively and in an equitable manner.
- Risk assessment methods and improved cyber security to control and contain the application of artificial intelligence to quantum computing in super fast analysis of big data sets.
- Discussion of the advantages of open systems for the storage and access of space-derived big data ensuring access to all nations. Also addressing the issue of mechanisms to distribute this information without requiring payment of proprietary fees for information access, yet still provide protections against criminal or deceptive uses of such data.
- Methods to distribute processed data more efficiently, faster, and to remote/affected geographic areas, moving from systems to quantitatively report natural and climatic emergencies, to use of these data-processing technologies to predict occurrences.
- Identification of new standards or guidelines associated with these new applications that should be addressed by the International Telecommunication Union, the UN COPUOS, The World Meteorological Organization or others.
