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AI is entering a different phase in Earth Observation. What began as experimentation on curated datasets is now moving into operational use, where models are expected to keep working across places, seasons, and changing conditions. Earth Observation places some of the heaviest demands on data consistency.
AI systems depend on inputs that behave predictably over time, but satellite data is shaped by changing conditions, uneven coverage, and fragmented supply. What works in controlled settings does not hold up as systems scale geographically and temporally. Across the industry, this is already visible. Initiatives like FAIR-EO, part of the Horizon Europe project…[continued]
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Globalstar grew revenue 17% year-over-year in the first quarter of 2026, which Globalstar reported as the operator is now in a process to be acquired…[continued] |
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Rocket Lab hit record quarterly revenue in the first quarter of 2026 and shared momentum for the upcoming Neutron launch vehicle as well as a…[continued] |
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Mission Microwave offers a versatile portfolio of high-performance solutions across cube, flat, and cylindrical form factors. Each product is designed for maximum efficiency, reduced size, and lightweight integration, helping meet demanding system requirements without added bulk. See how smarter engineering drives better results.
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Planet Labs Germany has won a significant new contract with a major government in Europe. The Greek government has signed a 2-year, 7-figure agreement with…[continued] |
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MDA Space posted 32% year-over-year revenue growth in the first quarter of 2026 and more than 40% growth for its satellite manufacturing business, driven by…[continued] |
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How do you future-proof your satellite network to thrive in an increasingly connected world? It’s a key question that network operators are asking as they…[continued] |
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