2026 IEEE International Conference on AI and Data Analytics (ICAD 2026)

2026 IEEE International Conference on AI and Data Analytics (ICAD 2026) is an IEEE conference and exhibition taking place June 11–12, 2026, in Boston, Massachusetts. The official site says the event starts on the Boston College campus and is designed to connect research, application, and industry perspectives across AI and data analytics.

ICAD 2026 centers on the applications of AI and key AI verticals that affect technology and innovation. The conference description emphasizes learning about new research and breakthroughs, gaining insights, growing a network, and hearing from experts working across this multi-faceted field.

The official audience signals identify researchers, practitioners, industry and government leaders, and students as core participants. The program is especially relevant for AI researchers, data scientists, industry executives, students, and tech professionals who want to follow advances in AI research and applied deployment.

That audience mix fits the structure of the event. Researchers can use the oral tracks and poster sessions, while industry attendees can focus on enterprise AI, MLOps, governance, and applied use cases in sectors such as finance, healthcare, software systems, and cybersecurity.

The published program combines keynote talks, parallel oral sessions, workshops, panel discussions, posters, and a virtual session day. The call for papers highlights four main tracks: foundations of AI, data science and analytics; applied AI and analytics in industry and enterprise; frontiers in AI and data analytics; and responsible AI, safety, and governance.

The topics listed in the call for papers include core machine learning, deep learning, computer vision, natural language processing, predictive analytics, data visualization, causal inference, explainability, synthetic data, autonomous data pipelines, generative AI, multimodal systems, agentic systems, privacy-preserving AI, ethics, fairness, and policy.

The conference program lists keynote speakers from Mitsubishi Electric Research Labs, Hewlett Packard Enterprise, Microsoft, and Red Hat. These talks sit at the center of the in-person program and frame the event’s emphasis on both research and practical deployment.

Workshops include a hands-on LLM safety evaluation session from Red Hat and a hands-on generative AI workshop using Amazon Bedrock and SageMaker Studio. The panel lineup adds discussion of music AI, commercial deployments of agentic AI, and the future of LLMs.

The official page directs visitors to register through the event website, and public pricing is listed in the source data at $390 to $700. Attendees should confirm the exact registration category, what access is included, and the current refund policy on the official event page before purchasing.

The source data also notes visa support through formal invitation requests, which may be useful for international attendees planning travel to the United States. Since the program references Boston College and specific campus locations such as Stokes Hall, Fulton Auditorium, and Fulton Hall, attendees should verify room assignments and check-in details before traveling.