Forbes March 11, 2025
In the fast-changing field of artificial intelligence (AI), the importance of high-quality data can’t be overstated. AI models are only as good as the data they’re trained on, and so poor data can mean inaccurate predictions, unreliable outcomes and missed opportunities. Earth observation (EO) data is becoming increasingly critical across various sectors, with AI and machine learning (ML) enhancing its applications with many companies positioning this data as part of their “space strategy.” The combined revenue of AI use cases for image recognition, algorithmic trading strategies, and localization and mapping is $20 billion with a substantial portion supported with Earth observation data. As organizations advance their AI strategies and look to leverage the vast amounts of EO data that’s being...
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