The 2027 International Conference on Smart Computing and Intelligent Business Technologies (SCIBT) focuses on cutting-edge research, innovations, and practical applications at the intersection of smart computing technologies and intelligent business systems. The conference aims to bridge the gap between theoretical advances and real-world deployment, addressing both technological and managerial challenges in the era of digital transformation.

The scope of the conference encompasses the design, development, implementation, and evaluation of intelligent computing systems that enable data-driven decision-making, automation, and sustainable business innovation. Emphasis is placed on Artificial Intelligence–driven solutions, smart digital infrastructures, and secure, scalable, and energy-efficient computing platforms that support modern enterprises, governments, and smart societies.

All papers accepted and presented at SCIBT2027 will be submitted for inclusion in the IEEE Xplore Digital Library, subject to compliance with IEEE Xplore scope, formatting, and quality requirements.

SCIBT welcomes original research contributions, case studies, and industrial experiences related to, but not limited to, the following areas:

Track 1: Artificial Intelligence & Computational Intelligence

Machine learning algorithms and applications
Deep learning models and optimization
Explainable and ethical AI
AI-driven decision support systems

Track 2: Smart Computing & Intelligent Systems

Smart computing architectures
Intelligent embedded systems
Autonomous and adaptive systems
Edge intelligence

Track 3: Data Science & Business Intelligence

Big data analytics
Predictive and prescriptive analytics
Business intelligence systems
Data-driven decision making

Track 4: Intelligent Business Technologies & FinTech

Digital transformation strategies
FinTech, blockchain, and digital currencies
Smart banking and e-commerce platforms
Intelligent enterprise systems

Track 5: Cybersecurity, Privacy & Trust

Secure intelligent systems
Privacy-preserving computing
Cyber risk management
Trust and compliance in smart environments

Track 6: IoT, Cloud & Edge Computing

Internet of Things architectures
Edge and fog computing
Cloud platforms and services
Smart environments and applications

Track 7: Green Computing & Sustainable Technologies

Energy-efficient computing
Sustainable digital infrastructures
AI for sustainability
Green data centers

Track 8: Smart Applications & E-Government

Smart cities and urban computing
AI in healthcare and education
E-government and digital public services
Policy-driven intelligent systems