t would also be orders of magnitude faster, Green noted. “That’s sort of the core disruption: it’s faster and cheaper,” making it more suitable to custom and fast-moving use cases.
“People have very specific needs across different industries,” Green went on. “Energy companies need to be able to predict the supply of renewables from wind and sun, and demand for heating and cooling; transportation companies need to avoid extreme weather; agriculture needs to plan weeks out to hire people to seed, water, fertilize, or harvest.”