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.
As large language model (LLM) systems grow in complexity, the challenge of ensuring their outputs align with human intentions has become critical. Interpretability鈥攖he ability to explain how models reach their decisions鈥攁nd control鈥攖he ability to steer them toward desired outcomes鈥攁re two sides of the same coin. 鈥淭owards Unifying Interpretability and Control: Evaluation via Intervention鈥濃�攔esearch by Usha […]
In today鈥檚 data-driven world, businesses face the dual challenge of leveraging vast datasets to gain insights while ensuring compliance with stringent data privacy regulations. The concept of machine unlearning, a method for efficiently removing the influence of specific data points from machine learning models, represents a paradigm shift in managing data responsibly. Recent research explores […]
As artificial intelligence (AI) continues to advance rapidly, its potential to transform strategic decision-making processes in business is becoming increasingly apparent, but how can strategists be sure their AI tools are getting it right? A recent study, 鈥淕enerative Artificial Intelligence and Evaluating Strategic Decisions鈥�,聽 by researchers Anil R. Doshi, Assistant Professor of Strategy and Entrepreneurship […]
Analysis of financial disclosures for publicly traded companies can be a time consuming and costly process these days. In the study, 鈥淪caling Core Earnings Measurement with Large Language Models鈥�, Matthew Shaffer, an Assistant Professor at USC’s Marshall Business School, and Charles C.Y. Wang, the Tandon Family Professor of Business Administration at 性视界 Business School, explore […]
