One day, one real business challenge — student teams from every discipline build AI-enabled solutions and make the business case. Sept. 25, 2026 at Stevens Institute of Technology, Hoboken, NJ.
A full-day executive conference on turning AI into measurable business value — October 8, 2026 at Stevens Institute of Technology, Hoboken, NJ.
Katia Meggiorin explores how AI is rewriting the rules of competition by analyzing two rival companies in the same industry—one traditional, and one heavily AI-driven.
Empower your senior managers and executives to understand and plan data governance, work, and innovation in AI-driven business.
Train your managers and employees to harness design thinking to develop AI-based solutions to problems that they encounter in everyday business and work.
Aleksi Aaltonen explores what data are (or is), why their importance is going to grow, and what are the emerging trends and issues that organizations will need to tackle in the AI-driven economy.
Jordan Suchow looks at a key strategic decision that companies in the autonomous navigation space have all wrestled with: how to bootstrap a product when the data needed to train the system requires deploying it.
Zachary Feinstein explores the transition toward truly autonomous wealth management by bridging artificial intelligence with decentralized market structures.
Violet Chen introduces the AI ethics landscape and examines how principles of fairness, transparency, privacy, and accountability apply in real-world business decisions.
Michael zur Muehlen introduces a framework for understanding three AI deployment postures: AI-in-the-loop, AI-on-the-loop, and human-out-of-the-loop, raising hard questions about the point at which augmentation becomes automation.
The rapid proliferation of generative artificial intelligence (GenAI) is significantly reshaping the labor market. While existing literature primarily focuses on GenAI’s isolated effects on either labor demand (e.g., task automation) or labor supply (e.g., skill development), research exploring the combined, interactive effects on firm-labor dynamics remains limited.
Cybersecurity incidents and data breaches are increasingly common and pose significant financial risks for firms. This study examines how consumers respond to major data breach announcements and evaluates their economic consequences for affected companies. Using a difference-in-differences research design, we analyze a large-scale data breach in the hospitality industry that
The first Business+AI Forum on how AI is transforming business strategy, operations, and decision-making took place on March 11, 2026. Panelists * Katherine Dwyer, Managing Director, IBM. Katherine leads IBM’s strategic relationship with MetLife, supporting large-scale transformation through the development, deployment and optimization of innovative technology solutions. * Neil Patel
Balancing consumer protection with seller welfare is a central challenge in platform governance. This study examines returnless refunds—an innovation that reimburses buyers without requiring product returns—and analyzes a policy shift that delegated refund authority to highly rated sellers on a leading e-commerce platform. Using a difference-in-differences framework, we