Global Artificial Intelligence and Data Analytics
Artificial Intelligence (AI) and Data Analytics are rapidly reshaping how organizations operate, compete, and innovate across industries and society. From intelligent automation and predictive analytics to personalized education and data-driven decision-making, AI has become a critical enabler of digital transformation. As data volumes grow exponentially and computational capabilities advance, the strategic use of AI and analytics is no longer optional—it is essential for sustainable growth, operational excellence, and global competitiveness.
The IEOM Global Artificial Intelligence and Data Analytics special sessions bring together leading researchers, industry practitioners, educators, and innovators to explore the transformative potential of AI and advanced analytics. These sessions provide a platform to discuss state-of-the-art research, emerging technologies, and real-world applications that demonstrate how AI-driven insights can enhance productivity, improve decision-making, and create new value across sectors, including manufacturing, supply chains, healthcare, finance, smart cities, and higher education.
A particular emphasis is placed on the responsible and ethical deployment of AI, addressing governance, transparency, bias, and trust, while also examining practical challenges in implementation and scaling. The sessions aim to bridge theory and practice by showcasing successful case studies, interdisciplinary approaches, and future directions that will shape the next generation of intelligent systems.
Through these discussions, IEOM seeks to foster collaboration, inspire innovation, and equip participants with the knowledge and tools needed to harness AI and data analytics effectively in an increasingly data-centric and AI-enabled global economy.
Topics of Interest (include but are not limited to)
- Trends in Artificial Intelligence and Data Analytics
- Machine Learning and Deep Learning Applications
- Generative AI and Large Language Models
- AI in Education and Learning Transformation
- Big Data Management and AI-Driven Business Transformation
- Predictive, Prescriptive, and Cognitive Analytics
- AI for Operations, Supply Chain, and Manufacturing
- AI in Healthcare, Finance, and Smart Infrastructure
- Ethics, Governance, and Responsible AI
- Data Privacy, Security, and Trustworthy AI
- Challenges in AI Deployment and Scalability
- Human–AI Collaboration and Augmented Decision-Making
- AI for Sustainability and Social Impact
- Future of Artificial Intelligence and Data Analytics
Speaker Participation
Each speaker is required to submit:
- Title of the presentation
- A professional photo
- A short biography
- PowerPoint presentation slides
All accepted materials will be included in the conference proceedings.
If you are interested in being recognized as a Distinguished Feature Speaker, please contact info@ieomsociety.org for additional details.
All speakers are required to register for the conference.
Chairs
Global Artificial Intelligence and Data Analytics I
Global Artificial Intelligence and Data Analytics II
Global Artificial Intelligence and Data Analytics III