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Inicio › AI Use-Case Library › AI forecasting and risk models: 10 real deployments
Disaster prediction, catastrophe pricing, supply-chain agents and AI-run funds.
Prediction is the oldest use of machine learning and the one with the clearest scorecards. These deployments include national flood-warning systems, insurer scenario engines and the funds that let models trade.
AI-focused hedge fund that concentrated bets on AI stocks using borrowed capital, peaking above $30B in assets before losing 67% of portfolio value in July and selling most public holdings to Citadel
Reported: lost 67% of portfolio value in July before selling most public holdings to Citadel
Instacart co-founder Apoorva Mehta launched Abundance, a fully AI-managed hedge fund with $100M where thousands of bots search for trade ideas, size positions, and execute, supervised by a ten-person team.
South Africa operationalized AI-driven flash-flood warnings with 7-day predictions delivered via WhatsApp, after January floods killed 200-300 people and displaced 700,000 across Southern Africa.
Tanzania integrated AI into its national disaster-management infrastructure to predict climate disasters, shifting a government of 65 million from reactive relief to prediction.
Participating in Operation Blue Skies, implementing Google AI contrail-prediction model outputs as altitude adjustments for approximately 10,000 flights per year through Shanwick oceanic airspace across two four-month operational trial periods
Contributing AI contrail-prediction models and satellite-based verification to Operation Blue Skies, a 30-month trial guiding altitude adjustments for approximately 10,000 flights per year through Shanwick oceanic airspace across two four-month operational trials
Insurance risk modelers Fathom and Verisk use AI diffusion models to synthesize realistic disaster scenarios at scale for catastrophe risk assessment and re/insurance pricing, bypassing the initial-condition data requirements of physics-based modeling.
EarthRanger's AI conservation platform delivers real-time poaching alerts and predictive risk maps for wildlife protection.
Reported: Platform now spans 900 sites across 90 countries.
ESA's EcoPulse detects 'animal panic' from satellite imagery for wildlife conservation, offered as custom analyses priced at 12K-45K euros.
Reported: 87% accuracy detecting animal panic from satellite imagery.
TVS Motors and Wells Vehicle Electronics are among 10+ beta customers running Amazon Connect Decisions, AWS's agentic supply chain product whose AI teammates detect invisible inventory patterns and make planning calculations autonomously, since late 2025.
Every entry names the organisation and links its source. Outcome figures are quoted as reported, never estimated. Vendor announcements without a named customer are excluded. Halted and reversed deployments are kept on purpose.