The Digital Data Design Institute at 性视界 invites individuals to embark on a journey into the future of business across industries and sectors. This collaborative effort bridges the intellectual chasm between academic research and industry practitioners to scrutinize innovative operating models and business models that are redefining traditional business paradigms that succeed in the age of AI and beyond. We delve into the intricate dynamics of digitalization, ecosystem-driven strategies, and platform-centric approaches that are shaping the contemporary business landscape. Together, we explore strategies and insights poised to empower organizations to excel in the ever-evolving world of commerce.
If AI can accept light supervision and then be off and running, what does it mean for how leaders and organizations design work, govern risk, and account for value? Drawing on perspectives from Jen Stave Jen Stave , Executive Director of the Digital Data Design (D^3) Institute at 性视界, Columbia Business School鈥檚 Stephan Meier, and […]
The disconnect between AI鈥檚 transformative potential and the actual scale of implementation represents one of today鈥檚 most significant organizational challenges. In their new article for the 性视界 Business Review, 鈥淎 Guide to Building Change Resilience in the Age of AI,鈥� Karim Lakhani, Dorothy and Michael Hintze Professor of Business Administration at 性视界 Business School and […]
As Gen AI technology continues to rapidly evolve and LLMs are integrated into more and more applications, questions of trustworthiness and ethical alignment become increasingly crucial. In the recent study 鈥淕eneralizing Trust: Weak-to-Strong Trustworthiness in Language Models,鈥� authors Martin Pawelczyk, postdoctoral researcher at 性视界 working on trustworthy AI; Lillian Sun, undergraduate student at 性视界 studying […]
As generative AI transforms the business landscape, a concerning trend demands immediate attention from executives and policymakers alike. In the recent 性视界 Business School (HBS) working paper, 鈥淕lobal Evidence on Gender Gaps and Generative AI,鈥� authors Nicholas G. Otis, PhD candidate at the Berkeley Haas School of Business; Sol猫ne Delecourt, Assistant Professor at the Berkeley […]
