AI series: Earth observation and AI with Chris Rampersad of EarthDaily Analytics

Welcome to our AI podcast series. Each episode features business leaders from across the telecoms, media and technology (TMT) industry who discuss their AI-related insights, and what AI means to them, their organisation and the industry as a whole.

In this episode, Analysys Mason’s Prachi Kawade, Senior Analyst and expert in space and satellite talks with Chris Rampersad of EarthDaily Analytics.

Chris Rampersad is the Vice President of Engineering at EarthDaily Analytics, a leading Earth observation data services and analytics company in Vancouver, Canada. Chris has over 20 years of experience in the space industry and is an engineering leader and expert in Earth observation technology. In his current role, Chris leads the software and analytics development for EarthDaily Analytics' product suite and directs the ground segment development for the upcoming EarthDaily Constellation.

They discuss the following.

• AI integration. How EarthDaily Analytics uses AI to improve satellite imagery quality and analytics, including cloud masking and land classification.
• Generative AI. The impact of generative AI on earth observation, from short-term benefits to long-term industry transformations.
• Foundation models. The role of foundation models in simplifying and enhancing satellite data processing and analysis.
• Super resolution. Use cases and advantages of super-resolution technology in various sectors, such as agriculture and building detection.
• Future trends. The evolution towards natural language interfaces for easier and more comprehensive data interaction.
• Challenges and risks. The technical and operational challenges of AI in Earth observation and the importance of data quality and engineering.

Find out more about Analysys Mason's AI-related research and consulting services here.