Business+AI Lab
We offer training and workshops, host events, and publish resources that help firms to upskill their senior executives, managers, and employees to meet the challenges of AI-driven business.
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Business+AI Lab faculty experts provide training and workshops that help you to understand the opportunities of AI-driven business and to upskill your personnel for seizing them.
The workshop series focuses on managing and developing corporate data assets for the AI-driven business environment. Aimed at senior managers and executives, the series enables your team understand and plan data governance, work, and innovation in your organization.
AI is a general-purpose technology that can be applied to a wide range of problems in business and organizations. However, to make a successful application of AI, managers and employees need to be able to analyze practical situations and develop AI-based solutions that are desirable to their intended users. This course trains your team to harness the power of design thinking for AI.
This workshop is a hands-on, no-code introduction to applying Generative AI in everyday finance workflows.
Oct. 8, 2026
AI Conference 2026 Sold out
October 8, 2026 · University Center Complex (UCC) Gallery · Stevens Institute of Technology, Hoboken, NJ
The day features executive fireside chats with leaders from Regeneron, Pfizer, FICO, Alliance Health, and Stevens Institute of Technology.
Sept. 25, 2026
Hackathon 2026 Past event
Friday, Sept. 25, 2026 · 9 a.m. – 5 p.m. · Tech Flex, University Center Complex · Stevens Institute of Technology, Hoboken, NJ
The Stevens School of Business presents a one-day, student-run hackathon on leveraging AI for innovation in business.
Posted Sept. 23, 2026
Forum
Our featured speakers include Gene (Gennadiy) Barskiy, Connie Mui-Reilly and Vikram Nair.
Posted May 14, 2026
Faculty lecture
This lecture explores how AI is rewriting the rules of competition.
Posted May 7, 2026
Faculty lecture
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.
Posted April 30, 2026
Faculty lecture
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.
Posted April 23, 2026
Faculty lecture
Zachary Feinstein explores the transition toward truly autonomous wealth management by bridging artificial intelligence with decentralized market structures.
Posted April 16, 2026
Faculty lecture
Violet Chen introduces the AI ethics landscape and examines how principles of fairness, transparency, privacy, and accountability apply in real-world business decisions.
Posted April 9, 2026
Faculty lecture
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.
Posted March 31, 2026
Research talk
The rapid proliferation of generative artificial intelligence (GenAI) is significantly reshaping the labor market.
Posted March 13, 2026
Research talk
Cybersecurity incidents and data breaches are increasingly common and pose significant financial risks for firms.
Held March 11, 2026
Forum
The first Business+AI Forum on how AI is transforming business strategy, operations, and decision-making took place on March 11, 2026.
Posted Feb. 6, 2026
Research talk
Large language model (LLM)–based advisors increasingly interact directly with consumers, raising the question of whether they mitigate or exacerbate well-documented consumer choice biases.
Business+AI Lab faculty experts provide teaching, advising, and consulting in which they combine the latest research with practical relevance.
Lab Director
Associate Professor of Information Systems, Entrepreneur, and Editor-in-Chief
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IS&A Area Chair
Associate Professor of Information Systems, Chair of the Information Systems & Analytics
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Associate Professor of Information Systems
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Associate Dean and Associate Professor of Information Systems
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Assistant Professor of Information Systems
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Teaching Professor, former Vice President at FICO
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Assistant Professor of Information Systems
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Assistant Professor of Information Systems and Analytics
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Assistant Professor of Information Systems
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Online launch, April 1, 2026
Research Handbook on Digital Data: Interdisciplinary Perspectives (Edward Elgar Publishing). The book is co-edited by Aleksi Aaltonen with Marta Stelmaszak and Kalle Lyytinen.
For more information, send an email to Business+AI Lab Director Aleksi Aaltonen, aaaltone@stevens.edu, or Aron Lindberg, IS&A Area Chair, alindber@stevens.edu.
Email Aleksi Aaltonen, Lab Director
Business+AI Lab