Welcome

Welcome to

GAIB 2027

2027 3rd International Conference on

Generative Artificial Intelligence for Business (GAIB 2027)

Venue

Hong Kong, China

Conference Dates

July 9–11, 2027

Submission Deadline

June 25, 2027

Registration Deadline

July 2, 2027

about

About GAIB 2027

The 2027 3rd International Conference on Generative Artificial Intelligence for Business (GAIB 2027) will be held on July 9–11, 2027, in Hong Kong, China. The conference aims to provide an international academic and professional platform for researchers, scholars, engineers, and industry experts to exchange the latest research achievements, innovative technologies, and practical applications in generative artificial intelligence and business innovation.

With the rapid development of generative artificial intelligence, large language models, intelligent agents, and data-driven technologies, AI has become a key driver for business transformation and industrial innovation. GAIB 2027 focuses on exploring the integration of generative AI with business intelligence, enterprise management, decision-making systems, digital transformation, and emerging business applications.

The conference welcomes original research contributions covering generative AI technologies, large language models, AI-powered business analytics, intelligent decision support, automation systems, human-AI collaboration, responsible AI, and future-oriented business innovation. It provides opportunities for participants to discuss technological trends, share research perspectives, and promote interdisciplinary collaboration between artificial intelligence researchers and business professionals.

sub&Pub

Submission & Publication

All accepted full papers will be published in GAIB 2027 conference proceedings and will be submitted to Ei Compendex and Scopus for indexing.

Please send the full paper (Word+PDF) to Submission System.

📤︎Registration System 📤︎Submission System 

⬇️Template Download


Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

CFP

The topics of interest for submission include,

But are not limited to:

📚︎1. Generative Artificial Intelligence Technologies and Foundations

Generative Artificial Intelligence Models; Large Language Models and Foundation Models; Generative AI Algorithms and Architectures; Natural Language Processing and Understanding; Multimodal Generative AI; AI Agents and Autonomous Intelligent Systems; Machine Learning and Deep Learning Methods; Model Optimization and AI Infrastructure

📚︎2. Generative AI for Business Intelligence and Decision Making

Generative AI in Business Analytics; AI-Driven Decision Support Systems; Intelligent Business Forecasting and Prediction; Data-Driven Management and Optimization; AI Applications in Finance and Economics; Intelligent Marketing and Customer Analytics; Knowledge Management with Generative AI; Business Process Intelligence and Automation

📚︎3. AI-Driven Digital Transformation and Enterprise Applications

Generative AI for Enterprise Transformation; Intelligent Enterprise Systems and Applications; AI-Powered Automation and Workflow Optimization; Smart Manufacturing and Industrial AI; Digital Economy and Intelligent Business Models; AI Applications in Supply Chain and Operations; Cloud Computing and AI Services; Emerging Business Applications of Artificial Intelligence

📚︎4. Responsible AI, Human-AI Collaboration and Future Business Innovation

Trustworthy and Explainable Generative AI; AI Ethics, Governance and Security; Privacy Protection in AI Applications; Human-AI Interaction and Collaboration; AI Adoption and Business Strategy; Future Trends of Generative AI in Business; Innovation Management with Artificial Intelligence; Social and Economic Impacts of AI Technologies

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