Michael Schrage, a research fellow at MIT Sloan School’s Center for Digital Business and the author of Serious Play and the forthcoming Getting Beyond Ideas, put forward an interesting analysis of IBM's Watson and the Race Against the Machine Symposium in his recent HBR blog.
Schrage says that: "Watson didn't win because it "knew" more. It kicked human butt because it could learn — and act on its learning — far faster and with greater confidence. Watson was bred to be ultra-trainable."
He goes on to say that: "IQ is rapidly giving way to TQ — the Trainability Quotient — as the metric mattering most to the artificial intelligentsia...The human capital implications are compelling: you might be far better off professionally investing time in becoming a better tutor and coach than learning a new computer language."
Do you agree? How are you training and retraining your workforce to cope with new digital technologies? Better yet, how are you training yourself? Share your thoughts here...
As an update, Accenture this week released a new study that concludes:"The majority (55 percent) of workers in the U.S. report they are under pressure to develop additional skills to be successful in their current and future jobs, but only 21 percent say they have acquired new skills through company-provided formal training during the past five years."
The Accenture Skills Gap Study, which surveyed 1,088 employed and unemployed U.S. workers, found that "while more than half (52 percent) have added technology skills in the past five years, few have updated other in-demand skills such as problem solving (31 percent), analytical skills (26 percent) and managerial skills (21 percent)."
Are employers at fault?