Other
Data for the Real World
- Advances in foundation models and plummeting sensor costs have made dense physical world data collection feasible and actively underway.
- Predictive models for hard-to-reach environments are being developed using robot-collected data, while autonomous weather balloons gather data to enhance US government weather forecasting.
- The primary growth opportunity spans major industries, specifically energy, agriculture, logistics, and construction, where the scope of physical data collection is considered substantially larger.
- Increased real-world data acquisition enables precise modeling of industrial systems, which subsequently allows for control mechanisms to achieve specific outcomes such as storm steering, process certification reversal, and planetary cooling.
- There is strategic intent to expand engagement with companies, like Sorcer, that are creating novel methods for collecting physical world data across these target sectors.