Conference Tracks
Here are potential tracks for an International Conference on Artificial Intelligence and Data Analytics for Technology Advancement
Data Analytics and Big Data
- Big Data Architectures and Frameworks
- Data Warehousing & OLAP
- Data Lakes and Data Fabrics
- Real-time Data Processing (Stream Analytics)
- Data Cleaning, Transformation & Integration
- Visual Analytics and Dashboards
AI in Industry and Smart Systems
- AI in Manufacturing and Industry 4.0
- Predictive Maintenance and Quality Analytics
- Smart Grid & Energy Analytics
- AI for Transportation and Logistics
- AI in Smart Cities & Urban Planning
- AI in Agriculture and Rural Technology
Natural Language Processing and Speech Technologies
- Language Models and Transformers (e.g., BERT, GPT)
- Machine Translation
- Sentiment and Emotion Analysis
- Text Mining and Information Retrieval
- Speech Recognition and Voice Assistants
- Multilingual and Low-resource NLP
Computer Vision and Image Processing
- Object Detection and Recognition
- Scene Understanding and Image Segmentation
- Medical Image Analysis
- Video Analytics and Surveillance
- Face Recognition and Biometrics
- Generative AI for Images (GANs, Diffusion Models)
Data Science Applications
- AI for Business Intelligence and Decision Support
- Financial Analytics and Fraud Detection
- AI in Healthcare and Bioinformatics
- Education Analytics
- Retail and Consumer Behavior Analysis
- Sports Analytics and Performance Prediction
Ethical, Legal, and Social Implications (ELSI)
- Responsible and Fair AI
- AI Governance and Regulations
- Data Privacy and Security
- Bias and Discrimination in Algorithms
- Human-Centered AI Design
- AI for Social Good and Sustainability
Cyber Security
- Intrusion Detection Systems
- Malware Analysis and Threat Intelligence
- AI for Secure Authentication
- Blockchain and AI Integration
- Adversarial Machine Learning
- Privacy-Preserving AI
Emerging Technologies and Trends
- Federated Learning and Edge AI
- Quantum Machine Learning
- AI in Internet of Things (AIoT)
- Digital Twins and Simulations
- Metaverse and Immersive AI
- Augmented and Virtual Reality with AI
Tools, Frameworks, and Case Studies
- AI/ML Libraries and Platforms (TensorFlow, PyTorch, etc.)
- Cloud-based Analytics (AWS, Azure, GCP)
- Low-code/No-code AI Platforms
- Benchmarking and Model Evaluation
- Industry Case Studies and Deployments
- Open Datasets and Competitions