Artificial Intelligence (AI) and Data Engineering are at the forefront of the digital era, driving innovation and transforming industries worldwide. As pivotal areas of modern science and technology, they find applications in diverse fields including healthcare, finance, transportation, smart cities, and industrial automation. With the rapid advancement of AI algorithms, big data analytics, and intelligent systems, these fields are becoming increasingly integrated and impactful, offering unprecedented opportunities for research, development, and practical applications.

The International Conference on Artificial Intelligence and Data Engineering (ICAID 2027) will be held in Paris, France during March 17-19. The conference is sponsored by Aivancity, France, and other  leading global institutions and supported by renowned universities and research centers from Europe, North America, Asia, etc. It aims to summarize and exchange the latest research achievements in AI and data engineering, particularly focusing on technological advancements in Europe and the global landscape. The conference seeks to promote international collaboration, explore new applications of AI and data-driven technologies, and provide a high-level academic platform for experts, scholars, and practitioners to present their research, exchange ideas, and discuss future trends.

Conference Highlights:

• Cutting-edge Research Presentations: Showcasing the latest innovations in AI algorithms, machine learning, deep learning, data mining, and big data analytics.

• Industry-Academia Collaboration: Facilitating knowledge exchange between academia, research institutions, and leading technology companies.

• Workshops and Tutorials: Hands-on sessions on emerging technologies, practical AI applications, and data engineering tools.

• Youth and Early Career Forums: Opportunities for young researchers to present work, receive feedback, and engage with global experts.

• Best Paper Competitions: Recognizing outstanding research contributions with awards and publication opportunities.

• Academic Visits and Networking: Guided visits to local research labs and AI-driven enterprises, fostering collaboration and idea exchange.