Center for AI Strategy, Collaboration, Adoption, Learning & Enterprise
AI SCALE
From emerging technologies to real-world applications, AI SCALE brings people and ideas together to shape the future of artificial intelligence.
Advancing AI from Strategy to Scale
The Center for AI Strategy, Collaboration, Adoption, Learning & Enterprise (AI SCALE) bridges the gap between artificial intelligence innovation and real-world implementation. Through applied research, education, training, and collaboration with industry, government, and academic partners, the Center helps organizations confidently adopt, adapt, and scale AI across the sectors that drive our region’s economy.
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Overview
Artificial intelligence is rapidly transforming how organizations work, make decisions, and solve problems. Yet moving from AI innovation to meaningful implementation can be challenging. Organizations must navigate evolving technologies, limited expertise, changing guidance, workflow integration, security and privacy concerns, workforce considerations, and the ongoing pace of AI development.
AI SCALE addresses this capability-to-deployment gap.
Through applied research, education, training, and collaboration, we work with industry, government, academic institutions, regulators, and nonprofit organizations to understand the challenges of AI adoption and develop practical solutions.
Our work focuses on AI adoption and adaptation across healthcare, manufacturing, logistics, higher education, supply chain, and software development, with research and partnerships extending to emerging applications across industries.
AI SCALE also provides opportunities for executive education, workforce training, and consulting, helping leaders, professionals, educators, and organizations build the knowledge and capabilities needed to put AI to work.
Training & Education
AI SCALE connects research with practical learning opportunities that help individuals and organizations build the skills needed to work effectively with artificial intelligence. Through training initiatives, executive education, and hands-on learning, we translate emerging AI research into practical knowledge that can be applied in the workplace, classroom, and community.
FEATURED TRAINING
AI Driver's License
Build the skills to use AI with confidence.
The AI Driver's License is a practical training initiative designed to help participants understand and effectively use artificial intelligence in their everyday work. Participants develop foundational AI knowledge, explore practical applications, and learn how to approach AI tools thoughtfully and responsibly.
Research Areas & Themes
AI SCALE advances research focused on understanding how organizations can effectively adopt, adapt, and implement artificial intelligence.
AI Governance, Safety & Security
Exploring governance, regulation, safety, security, and responsible deployment practices for predictive, generative, and agentic AI.
AI Adoption, Human Factors & Training
Understanding the organizational and human factors that influence AI adoption, including workforce training, change management, and effective integration into existing workflows.
AI & Software Development
Investigating the impact of AI across the software development life cycle and exploring new approaches to AI-enabled development and testing.
AI in Higher Education & Learning
Developing effective strategies for integrating generative AI into teaching, instructional materials, assessment, and undergraduate education.
AI for Agriculture & Scientific Discovery
Exploring predictive AI for agricultural productivity while advancing AI-enabled scientific discovery and multidisciplinary collaboration in biomedical science and engineering.
AI & Industry Applications
Examining practical applications of AI across healthcare, manufacturing, logistics, supply chain, and other sectors, with a focus on developing scalable approaches to adoption and implementation.
Current & Past Research Projects
AI SCALE supports research projects focused on the practical challenges and opportunities surrounding AI adoption and adaptation.
Current and past projects include:
- Internet Search Trends and Infectious Disease Outbreaks – Understanding Spatial Variations in Relationship
- A Practical Framework for AI Adoption in Large-Scale Enterprises
- Navigating Algorithmic Management – Balancing Efficiency Gains with Employee Wellbeing
- Impact of Generative AI on Supply-Demand for Peer-Produced Content: Evidence from Wikipedia
Faculty & Researchers
Directors
Srikar Velichety
Associate Professor of MIS
Fogelman College of Business and Economics
svlchety@memphis.edu
Bernie J. Daigle Jr.
Associate Professor of Biological Sciences and Computer Science
College of Arts and Sciences
bjdaigle@memphis.edu
Collaborators
| Name | Position | Institution / Organization |
|---|---|---|
| William Duffy | Researcher | University of Memphis |
| Frances Fabian | Researcher | University of Memphis |
| Monideepa Tarafdar | Guidance and Oversight | University of Massachusetts – Amherst |
| Huigang Liang | Researcher | University of Memphis |
| Justin Williams | Advisor and Case Study Provider | FedEx |
| Vivek Kumar Singh | Researcher | University of Missouri Saint Louis |
| Sen Li | Researcher | Bentley University |
| Pavan Kumar Mulgund | Researcher | University of Memphis |
| Srikant Venkatesan | Researcher | University of Memphis |
| Yuan Gao | Researcher | University of Memphis |
| Yue Guan | Researcher | University of Memphis |
| Hedieh Ghorbanie | Research Assistant | University of Memphis |
| Rasha Hammamieh | Senior Researcher | Walter Reed Army Institute of Research |
| Utkarsh Shrivastava | Senior Researcher | Western Michigan University |
| Brian Hoogstra | Consultant and Case Study Provider | FedEx |
| Samuel Camacaro | Advisor and Case Study Provider | FedEx |
| Ruoting Yang | Senior Researcher | Walter Reed Army Institute of Research |
Partnerships & Collaborations
AI SCALE brings together researchers and practitioners from across academia, industry, government, and the nonprofit sector to advance practical AI research and implementation.
Our partners include FedEx, Institute of Applied AI and Robotics (IAAIR), University of Missouri–St. Louis, University of Massachusetts Amherst, and Walter Reed Army Institute of Research, along with additional research institutions, organizations, and industry partners.
Get Involved
AI SCALE creates opportunities to engage through research collaboration, training and education, industry partnerships, and consulting.
Whether you are interested in collaborating on research, building AI skills, exploring an organizational challenge, or connecting with researchers and industry partners, we welcome the opportunity to work with you.