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AI Case Studies
Discover how Scan helps organisations achieve their AI goals
Scan brings AI to life. As the only UK organisation to deliver both on-premise and hosted systems, we provide end-to-end AI solutions from proof of concept to development, training and inferencing. To get the best results from an AI deployment, you need a trusted partner who will listen to your unique challenges and business models, but who can then guide you through the possibilities and pitfalls, to devise a complete AI strategy. This is where Scan comes in with our unique AI Ecosystem, enabling you to understand what you need at every stage of your AI journey, from initial proof of concept right through to deployed solution.
This comprehensive, yet personal approach is why we’re trusted by so many companies and organisations from all areas of business.
Click the industry sector tabs below to explore some of our success stories.
AI in Space Research
AI is enabling an exciting new era of enhanced capabilities and agencies such as NASA and ESA are embracing this to explore and apply new methods to critical challenges in earth science, space exploration and planetary stewardship. With our planet’s challenges mounting, data from satellites is enabling the investigation of phenomena such as floods, superstorms and global wildfires, with the ultimate aim of prediction and forewarning - for the benefit of all humankind.
FDL Europe 2023 - Foundational Model Adaptors for Disasters
Can LLMs collate and interpret information on emerging and historic disasters, to improve response and analysis?
Read moreFDL Europe 2023 - Generalisable SSL Synthetic Aperture Radar
Can foundation models for SAR data address a range of downstream tasks and deliver results across time and space?
Read moreFDL Europe 2023 - Live Twin for Space Weather
Can machine learning onboard space observatories and on Earth help build a near real-time warning system for potentially dangerous solar weather events?
Read moreFDL Europe 2022 - Live Twin Hydrological Models
Can data-driven ML models, informed by real-time satellite data build an end-to-end flood prediction system?
Read moreFDL Europe 2022 - Live Twin Aerosols
Understanding how aerosols and other emissions from extreme fires affect weather and climate.
Read moreFDL Europe 2021 – World Food Embeddings
Researching whether AI and satellite images can be used to track the world’s food supply.
Read moreFDL Europe 2021 - Extreme Event Hot Spots
Can onboard AI technology be deployed on satellites to improve observations on extreme weather events?
Read moreFDL Europe 2020 - Clouds and Aerosols
The project team used observations from a geo-stationary satellite over the Southern Atlantic Ocean, combined with data from ECMWF and IMERG estimates to better understand the aerosol impact on cloud structure through the application of multiple machine learning methods.
Read moreFDL Europe 2020 - Digital Twin Earth
The DTE project set out to discover whether machine learning can learn forecast precipitation by fusing simulated satellite weather data with physical model data, to offer a low-cost alternative to expensive simulation infrastructure.
Read moreWe're adding new case studies all the time...
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