Overview
The 2nd International Conference on Artificial Intelligence and Big Data Analytics (AIBDA 2026) is a hybrid event scheduled for October 15–16, 2026 in Singapore City, Singapore. The conference theme is “Empowering the Future with AI-Driven Possibilities.” It brings together researchers, data scientists, AI experts, academicians, industry professionals, and technology leaders to explore the latest advances in artificial intelligence, machine learning, deep learning, and big data analytics. Attendees will explore how data technologies transform healthcare, finance, cybersecurity, smart cities, automation, and business intelligence. The program is designed to foster collaboration, knowledge exchange, and networking across a global audience, with formal keynote talks, technical sessions, panel discussions, and interactive workshops.
Format and accessibility
AIBDA 2026 is described as a hybrid event, allowing participation in person in Singapore or remotely from home or work. This flexibility is intended to accommodate international attendees and organizations with travel constraints. The event emphasizes ethical AI development, scalable data solutions, and intelligent automation, and aims to showcase cutting-edge research as well as practical applications for industry players.
Agenda and tracks
The conference features a diverse program including keynote addresses, scientific sessions, and parallel breakout tracks. Notable topics span Deep Learning architectures and techniques, Natural Language Processing and Large Language Models, Computer Vision and Multimodal AI, Reinforcement Learning and Autonomous Agents, AI in Healthcare and Bioinformatics, AI in Robotics and Autonomous Systems, Explainable AI, and Edge AI with Tiny ML. A structured schedule presents sessions by day with time blocks for registrations, opening remarks, keynote sessions, breaks for refreshments and networking, parallel sessions, lunch, and poster or workshop components. A dedicated conference schedule section outlines the topics and times for each track, providing attendees a clear path through the program.
Speakers
The event highlights a lineup of speakers from academia and industry, including Inderjit Dhillon, Negar Mehr, Anne-Marie Kermarrec, Vaidehi Ulaganathan, Julio Cesar Pino Tarragó, Wei Shao, Harry Ruda, and Mukesh Chandra Dimri, among others. These speakers originate from institutions such as University of Madrid, Warsaw University of Technology, and Jaypee University of Engineering and Technology, as well as industry-affiliated researchers. The program emphasizes a balance of keynote talks and technical sessions across the tracks, offering attendees insights into current research frontiers and real-world AI deployments.
Who should attend
The conference is designed for researchers, data scientists, AI practitioners, educators, and industry professionals who are interested in state-of-the-art AI and big data analytics. It provides opportunities for presenting research, learning about innovative frameworks, and networking with global experts and peers working on intelligent systems, data-driven decision making, and AI-enabled solutions across sectors.
FAQs
Participants can expect details about venue, hybrid access, registration options, call for abstracts or papers, and conference logistics on the official site. The event aims to facilitate knowledge exchange, collaboration, and professional growth through a structured agenda that includes keynote talks, technical sessions, workshops, and networking opportunities.
