What Resources Help You Navigate Real-World AI Strategy and Use Cases?
AI STRATEGY & USE CASES
Explore our AI Strategy & Use Case Library which contains practical case studies, best practices, and expert frameworks that align AI initiatives with organizational goals. Access targeted resources that help leaders define use cases, integrate data, and invest wisely for scalable, responsible adoption. Real-world examples can help you strengthen strategy and maximize AI’s positive returns.
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
Berkley 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
Deloitte offers a collection of AI use cases and strategic frameworks aimed at helping organizations across various industries leverage AI effectively, focusing on the following sectors: consumer, energy, financial services, government, healthcare , and technology.
Dr. Daniela Rus
AI at CMU Research Initiative
Carnegie Mellon University
The AI research initiative at Carnegie Mellon University leverages a deeply interdisciplinary ecosystem—spanning robotics, machine learning, and public policy—to develop transformative technologies that address complex challenges.
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
University of Texas, Austin
AI Opportunity Inventory
AI Use Case Insights
Interactive high-impact AI use case 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
Stanford founded an interdisciplinary institute dedicated to advancing AI research, education, policy, and practice that improves the human condition. They produce the annual AI Index Report, which chronicles industry AI advancement.
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
Univ. of California, San Diego
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
AI use case report and frameworks across six major industries
Deloitte
MIT'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.
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.