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Dr. Anand Rao

The C-suite needs to actively drive a responsible, ethically led strategy for AI to balance economic gains with its once-in-a-generation impact on business and society.

Dr. Anand Rao

Distinguished Service Professor of Applied Data Science & AI, Carnegie Mellon University (Heinz College)

Dr. Anand S. Rao is a globally recognized AI leader and educator, now Distinguished Service Professor of Applied Data Science & AI at Carnegie Mellon University’s Heinz College, where he teaches Operationalizing AI, Responsible AI, Applications of LLMs, and Agent-Based Models & Digital Twins. Before CMU, he spent decades at PwC, serving as the firm’s Global Artificial Intelligence Leader and advising C-suites and boards on AI strategy, governance, and adoption across financial services, healthcare, mobility, and more. His work bridges cutting-edge research and enterprise transformation, with a deep track record in responsible deployment at scale.

Anand holds a PhD in AI (University of Sydney) and an MBA (Melbourne Business School). He has co-edited foundational volumes on intelligent agents and published widely on AI, decision intelligence, and ethics. His current focus spans LLM safety and value realization, agent-based simulations for complex systems, and building trustworthy AI programs that deliver measurable ROI.

AI Ethics
Artificial Intelligence
Data

Recent Topics

Operationalizing AI: From Prototype to Production

A practical framework for moving beyond pilot projects to achieve sustainable, scalable AI deployment that delivers measurable business value while maintaining ethical standards.

Beyond the Hype: Building AI Solutions That Actually Work

Cutting through inflated expectations to focus on "boring AI" that solves real business problems, with insights on where AI creates genuine competitive advantage versus where traditional approaches remain superior.

The Future of Work in an AI-Augmented World

Examining how AI reshapes organizational structures, decision-making processes, and workforce capabilities, with frameworks for developing "bilingual" talent who bridge domain expertise and AI fluency.

Agent-Based Models and the Rise of Agentic AI

Exploring how classical multi-agent systems research informs today's explosion of LLM-powered autonomous agents, with practical applications from financial modeling to pandemic response.

Media

Enhancing ROI from AI: Challenges and Best Practices — video

Enhancing ROI from AI: Challenges and Best Practices

The Future of Finance and AI - A Conversation with Anand Rao — video

The Future of Finance and AI - A Conversation with Anand Rao

AI in Enterprise - Anand Rao (PwC) — video

AI in Enterprise - Anand Rao (PwC)