What Resources Help You Navigate Real-World AI Strategy and Use Cases?
AI STRATEGY & USE CASES
Explore our AI Strategy & Use Case library for direct access to practical case studies, best practices, and expert frameworks focused exclusively on aligning AI initiatives with organizational goals. Find targeted materials designed to help leaders define use cases, integrate data and analytics, and make informed investments for scalable, responsible, and innovative AI adoption. Discover actionable tools, guidance, and real-world examples to strengthen your organization’s strategy and maximize AI’s measurable value.
AI Opportunity Inventory
UT Austin
The AI Opportunity Inventory from UT Austin’s School of Law is a pioneering, collaborative database designed to identify, catalog, and analyze artificial intelligence use cases with significant potential to benefit society.
Kevin Frazier
Berkeley Artificial Intelligence Research (BAIR) Lab
University of California, Berkeley
It unites over 50 faculty and 300+ graduate students and postdocs working across core AI domains, including computer vision, machine learning, natural language processing, planning, control, and robotics.
Dr. Pieter Abbeel
The Paul G. Allen School of Computer Science & Engineering at the University of Washington leads cutting-edge AI research in machine learning, computer vision, natural language processing, robotics, and more.
Paul G. Allen School of Computer Science & Engineering
University of Washington (UW)
Magdalena Balazinska
University of Michigan, Ann Arbor
Michigan AI Laboratory
The Princeton Laboratory for Artificial Intelligence (AI Lab) is a campus unit supporting and expanding AI research through interdisciplinary collaboration across natural sciences, engineering, social sciences, and humanities.
Nikola Banovic
National Science Foundation
AI use case inventory (derived from NSF funding)
NSF's inventory spotlights AI applications born from federal research, emphasizing solutions that enhance decision-making and societal benefit across scientific domains. It captures innovative projects in AI-driven data analytics, computational modeling, and automated reasoning that advance science and technology.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Massachusetts Institute of Technology (MIT)
IT's Computer Science and Artificial Intelligence Laboratory (CSAIL) is the largest research lab at MIT, formed by merging the Laboratory for Computer Science and the Artificial Intelligence Laboratory.
Dr. Daniela Rus
AI at CMU Research Initiative
Carnegie Mellon University
The Stanford Institute for Human-Centered Artificial Intelligence (HAI) is an interdisciplinary institute founded in 2019 dedicated to advancing AI research, education, policy, and practice that improves the human condition.
Tom Mitchell
Princeton Laboratory for Artificial Intelligence
Princeton University
The Princeton Laboratory for Artificial Intelligence (AI Lab) is a campus unit supporting and expanding AI research through interdisciplinary collaboration across natural sciences, engineering, social sciences, and humanities.
Tom Griffiths
Gartner AI Use Case Insights
Interactive research tool
The Gartner AI Use Case Insights product offers comprehensive research, analysis focused on practical AI use cases across industries. It helps organizations identify, evaluate, and prioritize AI initiatives through curated case studies, technology assessments, and implementation strategies
U.S. Federal AI use case inventory
Federal CIO Council
This resource targets government CIOs and IT leaders, offering a categorized inventory of AI use cases spanning healthcare, security, customer service, and internal operations. It supports strategic AI adoption and governance development by illustrating successful implementations and lessons learned.
State of AI Annual Report
McKinsey
McKinsey’s annual AI survey reports accelerating AI adoption across industries, with many companies generating clear business value. Use cases span automation of knowledge work, predictive analytics, customer engagement, and supply chain optimization.
Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Stanford University
The Stanford Institute for Human-Centered Artificial Intelligence (HAI) is an interdisciplinary institute founded in 2019 dedicated to advancing AI research, education, policy, and practice that improves the human condition.
Dr. Fei-Fei Li
Harvard University
Kempner Institute for the Study of Natural and Artificial Intelligence
The Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University is a research community dedicated to understanding intelligence in both biological and artificial systems.
Dr. Bernardo Sabatini
University of California, San Diego (UCSD)
Artificial Intelligence Group
The institute hosts world-class research facilities and multidisciplinary centers like The Institute for Learning-enabled Optimization at Scale (TILOS) and the Institute for Emerging CORE Methods in Data Science (EnCORE).
Prof. Henrik Christensen
Use case reports and frameworks
Deloitte
Deloitte offers a comprehensive and regularly updated collection of high-impact AI use cases and strategic frameworks aimed at helping organizations across various industries leverage AI effectively.
Federal Reserve Board
Federal Reserve Board
Managing sensitive financial, regulatory, and operational processes, the Federal Reserve Board publishes an AI use case inventory supporting mission-critical functions with AI. It stresses risk management, ethical AI deployment, and regulatory compliance, offering frameworks and examples suited for the financial sector.