Intelligent Data Engineering & Artificial Intelligence

The international conference on artificial intelligence and data engineering, featuring groundbreaking research, immersive workshops, technical deep-dives, societal and real-world impact.

Intelligent Data Engineering and AI 2026 (IDEA 2026)  is a international forum that brings together researchers, academicians, industry leaders, policymakers, and advanced practitioners to explore the foundations, systems, and societal implications of artificial intelligence and data engineering. The conference spans the full spectrum from theoretical advances to large-scale deployments, addressing how data driven intelligence is designed, governed, and applied in complex real world environments.

IDEA 2026 covers a broad range of topics including distributed and federated data architectures, scalable machine learning and deep learning systems, LLMs, multimodal and generative AI, neural-symbolic reasoning, trustworthy and responsible AI, advanced computer vision, reinforcement learning, causal learning, quantum and hybrid AI models, and AI for scientific discovery. Technical sessions will feature cutting edge work on semantic data integration, foundation models, autonomous and agentic systems, and AI deployment in healthcare, finance, smart cities, sustainability, and critical infrastructure.

The conference also emphasizes human-centric and socially responsible AI, with focused discussions on fairness, transparency, robustness, privacy, data security, governance, and ethical algorithm design. Through keynotes, technical paper sessions, workshop, tutorial, panels, and demonstrations, IDEA 2026 provides a rigorous yet inclusive platform for exchanging novel ideas, methodological innovations, and impactful applications.

By bridging data engineering, AI systems, and societal impact, IDEA 2026 aims to shape the next generation of intelligent systems that are scalable, trustworthy, and aligned with real-world needs.