causaLens recognized as a pioneer in causal inference

A Forbes story explains there are some generally accepted factors which determine if a human or machine is capable of artificial general intelligence, one of which is causal inference.

can more accurately and robustly model trends in time-series – such as indices for the global economy

-Ed Stacey in Forbes

Causal inference enables businesses to solve incredibly challenging problems. causaLens is singled out as a pioneer in causal inference, with its technology enabling businesses to “more accurately and robustly model trends in time-series – such as indices for the global economy, or predict how shocks in one sector might affect another.”

Read the full article on the Forbes site.