商品敘述：

Gen AI tools offer unprecedented opportunities, but organizations adopting them rarely realize significant value right away. As with past general-purpose innovations, companies often experience an initial dip in productivity before seeing sustained gains. This "productivity J-curve" reflects the growing pains of integrating new systems, reorganizing workflows, and investing in complementary capabilities. To bridge the gap between adoption and measurable impact, some smart companies are taking a disciplined approach: organizational experimentation. By designing targeted experiments focused on authentic, high-impact customer needs-and using scientific methods to test, refine, and scale promising solutions-firms such as Procter & Gamble, Siemens, and Google are reducing risk while accelerating learning. Collaboration with academic experts further strengthens experimental rigor. The path to gen-AI-driven value is neither quick nor linear, but organizations that invest in experimentation will ultimately navigate uncertainty more successfully and turn potential into real performance gains.

涵蓋領域：

AI and machine learning;Experimentation;Generative AI;Operations strategy;Technology and analytics

相關資料：

哪些人也有訂購？