Conference Proposals
The Council for the Management of Information Systems (CMIS) at Texas A&M University’s Mays Business School invites you to participate in our 3rd Annual CMIS AI Conference, with this year’s theme being “Shaping the AI-Driven Future.” This two-day event brings together industry leaders, practitioners, academics, and innovators to explore the transformative power of artificial intelligence in business and research.
Conference Tracks
Day 1: Practitioner-Focused Tracks
AI in Business: Strategy and Operations
These parallel tracks will delve into how AI is fundamentally reshaping business models, decision-making processes, and operational excellence across diverse industries. We invite proposals that showcase innovative strategies and practical applications driving tangible business value.
Hands-on Labs
This dedicated track provides immersive, practical experiences for applying AI directly within business contexts. Share your expertise by leading a lab that equips attendees with actionable skills and direct experience with AI tools and frameworks.
AI in Supply Management
Explore cutting-edge innovations and compelling case studies demonstrating how AI is revolutionizing supply chains, optimizing logistics, and enhancing risk mitigation strategies. Contribute your insights on how AI is building more resilient and efficient supply networks.
AI in the Energy Sector
This track focuses on the transformative applications of AI within the energy sector, from optimizing production and distribution to advancing sustainability and efficiency. We are looking for submissions that highlight groundbreaking uses of AI addressing the unique challenges and opportunities in energy.
High Performance Computing for AI
Discover the latest advances in computational power and infrastructure that are enabling the development and deployment of next-generation AI solutions. Share your research and practical insights on how HPC is accelerating AI capabilities and addressing complex data challenges.
Ethical AI Implementation and Responsible AI Development
This track explores practical, real-world approaches to implementing ethical AI, ensuring fairness, transparency, and accountability within deployed systems. Submit proposals that address the crucial considerations and methodologies for building responsible AI.
AI for Customer Experience (CX) and Marketing
Uncover how AI is transforming customer experience and marketing strategies through personalization, predictive analytics, intelligent chatbots, and optimized customer
journeys. We seek proposals demonstrating how AI is creating more impactful and personalized customer interactions.
AI Talent and Workforce Development
Engage in critical discussions around reskilling the workforce, fostering AI literacy, effectively managing AI teams, and envisioning the future of work in an AI-driven world. Share your strategies for developing the human capital essential for AI success.
Edge AI and Internet of Things (IoT)
Delve into the burgeoning field of Edge AI, exploring both the applications and challenges of deploying AI models directly on edge devices and integrating them within complex IoT ecosystems. We encourage submissions on innovative solutions and practical considerations for AI at the edge.
Low-Code/No-Code AI and Citizen Data Scientists
This track highlights advancements in low-code/no-code AI platforms and their role in empowering business users to develop and deploy powerful AI solutions with minimal traditional coding. Showcase how these tools are democratizing AI and enabling citizen data scientists.
Day 2: Academic Research Track
All aspects of AI research, including (but not limited to): This track welcomes cutting-edge academic research across the entire spectrum of Artificial Intelligence, from foundational theories to novel methodologies. Present your latest findings and contribute to the intellectual discourse that will define the next generation of AI advancements.
- Machine learning and deep learning
- AI ethics, governance, and policy
- AI for sustainability and social good
- Generative AI: models, applications, and implications
- AI and human collaboration
- Data privacy and security in AI
- AI in industry-specific contexts (healthcare, finance, education, etc.)
We kindly ask all submitters for Day 2 to be available to review one to two other submissions within the requested timeframe.
Session Formats
We welcome a variety of engaging formats for both days.
Day 1: Practitioner-Focused Formats
TED-Style Talks (18-25 minutes)
Concise, impactful presentations on real-world AI applications, practical insights, and industry case studies.
Hands-on Workshops (1.5-2 hours)
Interactive sessions for practical skill-building with AI tools and frameworks.
Panel Discussions (45 minutes)
Moderated conversations among multiple industry experts on key trends and challenges in applied AI.
Day 2: Academic Research Formats
Paper Presentations (20-25 minutes)
In-depth presentations of original research findings, methodologies, and theoretical advancements in AI, including time for Q&A.
Panel Discussions (45 minutes)
Moderated conversations among multiple academic experts on key trends and challenges in AI research.
Submission Guidelines
Proposals should include:
- Title of Presentation
- Abstract (250–500 words): Overview, key takeaways, and relevance to the conference theme/track.
- Session Format: (Keynote, panel, workshop, case study, research presentation, or TED-style talk)
- Target Audience: (Executives, practitioners, IT professionals, academics, students, etc.)
- Learning Objectives: Key points or skills attendees will gain.
- Speaker Bio(s): Brief background highlighting relevant expertise.
- Technical Requirements: Any specific AV or technology needs.
Important Note for Presenters: If your proposal is accepted, you are expected to register for and attend the conference. Conference registration is not included with proposal acceptance.
Important Dates
- Submission Deadline: Feb.1
- Notification of Acceptance: Feb. 15
- Final Presentation Materials Due: March 15
Evaluation Criteria
Proposals will be evaluated on:
- Relevance to the conference theme and tracks
- Originality and innovation
- Clarity and quality of content
- Practical application or research contribution
- Speaker expertise and experience
Submission Process
Please submit proposals through these forms:
For questions or sponsorship inquiries, contact:
Dr. Dwayne Whitten
254-498-1607
or email: cmis@mays.tamu.edu
Conference Registration
Upon acceptance of their presentation, we kindly ask all presenters to complete their conference registration and submit payment. We look forward to your innovative ideas and to making the conference a landmark event for both practitioners and academics, and to welcoming our valued sponsors and exhibitors!
