The AUTSS platform was completed in 2021 as an incubator and accelerator for AI technologies in the Space industry. Currently AUTSS is being used to develop the Dynamic Predictive Routing use case with ARTES.
Dynamic Predictive Routing
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Where satellite communications missions operate in LEO or MEO orbits, the communications links change frequently due to the relative motion of spacecraft above the Earth and with respect to each other.
The Dynamic Predictive Routing (DPR) project will leverage the AUTSS AI accelerator to determine if and how Artificial Intelligence and Machine Learning can be applied to optimise communications paths, improve traffic routing and make better use of bandwidth and increasing operational efficiency.
Machine learning technologies are cutting-edge technologies, their applications and behaviours are not always well understood or documented.
Capabilities others might consider to be ‘the hard stuff’ (big data, DevOps, automation) are just the simple prerequisites for leveraging AI technologies.
AUTSS provides intuitive and de-mystified access to machine learning technologies for small and medium size enterprises in the Space industry.
Partner organisations can quickly and effectively assess the viability of leveraging AI for a particular use case and, where viable, to seamlessly industrialise a prototype as a delivered product using Machine-Learning-as-a-Service (MLaaS) methodology.
AUTSS offers an on-premises computing platform dedicated to data science activities with an industry-leading security design and strong operational controls from inception.
The AUTSS platform is portable can be deployed to the cloud or on your own premise to suit all business needs.
Leveraging CGI’s long history in the Space and Satcoms industries allows AUTSS to provide industry-specific tooling, assets and knowledge that is not available from large generic vendors. Bespoke machine-learning tooling is designed from the ground up for the challenges of the space industry.
The AUTSS platform is a bespoke data science environment built on powerful NVidia Tesla GPUs in our secure facility in Leatherhead, UK. AUTSS draws on a co-located data lake of reusable open-source assets with secure and compartmentalised storage for sensitive data.
AUTSS has the capacity to access cloud services and is fully portable depending on customer needs; it can interface directly to partner organisations to access data pipelines where necessary. These external surfaces are protected by CGI’s SecOps Cyber Security service.
The AUTSS platform itself is built on MLaaS principles and has the capability to support model training from conception through industrialisation and operationalisation into service use.
AUTSS also offers portability features to allow a partner organisation to integrate a machine learning model in-house with minimum fuss after initial prototyping has completed successfully.
The DPR programme commenced in May 2022 and will proceed with a six month Definition Phase which shall complete the requirements capture, architectural analysis, design, and synthetic data generation necessary to initialise the development of the prototype.
The Dynamic Predictive Routing prototype will then be developed and tested during a twelve month Technology phase culminating in a technology demonstrator which will de-risk the concept and provide the foundation for further customer engagement and productisation efforts.
AUTSS accelerator platform has been developed and is in use supporting several industry engagements.
For ARTES, AUTSS is being used to investigate the Dynamic Predictive Routing use case.
