Читать книгу Decision Intelligence For Dummies - Pamela Baker - Страница 29

Several leading AI luminaries and tech giants have been pioneers in, and first adopters of, decision intelligence. They've already added the title of chief decision scientist to their leadership ranks. One example is Google’s eminent chief decision scientist, Cassie Kozyrkov, who spends her days at Google democratizing decision intelligence and developing a more reliable AI approach. She also teaches it to others via conference speeches, YouTube videos, and writings in many online publications.

Kozyrkov appears to embody decision intelligence, partly because of her formal training in economics, mathematical statistics, psychology, and neuroscience. Decision intelligence incorporates all these disciplines — and then some. Although not all who share her title possess the same skill mix, they nevertheless do share strong critical thinking skills as well as a thorough understanding of creative problem-solving strategies, decision theory, and decision science approaches. (For those not familiar with the term, decision science focuses on decisions as the unit of analysis; it is the interdisciplinary application of business, math, technology, design thinking, and behavioral sciences to the decision-making process.)

Every day, more leaders are stepping forward to endorse the decision intelligence framework and explain its workings. Many of them work in AI, but others hail from disciplines collectively known as the decision sciences. Business leaders outside the technical domain are also catching on and reveling in their official return to the helm, as opposed to following data’s lead (which most never did anyway), and armed with a better strategy. They’re also happy about being able to keep their traditional analytics and tools. You don't win battles by limiting your options or abandoning your investments.