IEEE Big Data 2026

The IEEE International Conference on Big Data 2026 returns as the flagship global forum for data scientists, AI researchers and industry leaders shaping the future of large-scale analytics. Scheduled for this December in Phoenix, Arizona, the conference serves as a vital platform for exploring advancements in machine learning, database systems and enterprise data infrastructure. A key highlight of this year’s program is the 4th Workshop on Large Language and Foundation Models, co-organized and sponsored by the Lamarr Institute.

Shaping the Future of Scalable Data Science and AI Systems

Since its inception in 2013, the IEEE Big Data series has been a central venue for discussing the transformative impact of data across medicine, finance, science and society. The 2026 edition features high-quality peer-reviewed research alongside practical strategies for managing unprecedented data volumes. Attendees will access innovative contributions in data mining, trustworthy systems and hardware-efficient architectures, promoting collaboration between academic research and industrial application.

Highlighting Lamarr Expertise in Foundation Models and Hybrid ML

A major component of the conference is the co-located 4th Workshop on Large Language and Foundation Models (WLLFM 2026), sponsored by the Lamarr Institute for Machine Learning and Artificial Intelligence. Co-organized by Prof. Dr. Rafet Sifa, Lamarr Principal Investigator for Hybrid ML, along with Dr. Tobias Deußer and Dr. Lorenz Sparrenberg from the Applied Machine Learning (AML) Lab at the University of Bonn, the workshop addresses the gap between theoretical advancements and real-world applications. The sessions will cover critical research areas, including retrieval-augmented generation, multi-agent systems, multimodal architectures and trustworthy AI.