causaLens is featured in Forbes as a pioneer in causal inference

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

ED STACEY IN FORBES

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.

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.

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