The use of AI in Earth observation (EO) is currently restricted to basic automation, missing out on the potential of AI’s advanced self-learning capabilities. Additionally, AI is not being fully leveraged in downstream analytics processes.
This report offers strategic advice to EO service providers on how to integrate AI effectively and combine it with emerging technologies like foundation models to create customized solutions for end users.
Key questions addressed in this report include:
- What is the current state of AI adoption in EO?
- What role do foundation models play in the process?
- How can generative AI (GenAI) contribute to creating personalized solutions and drive differentiation for downstream analytics providers?
- What actions should various stakeholders take to capitalize on the growing adoption of AI and the opportunities it brings?
- Which partnerships will help these stakeholders strengthen and advance their AI/ML capabilities?
