- * Explore cutting-edge advancements and research in Cloud Computing and Artificial Intelligence.
- * Discuss strategies to address the challenges and opportunities in Artificial Intelligence.
- * Foster interdisciplinary collaboration among academia, industry, and government.
- * Provide a platform for sharing best practices, success stories, and lessons learned in AI development.
Key Themes:
- AI Algorithms
- Artificial Intelligence tools & Applications
- Automatic Control
- Bioinformatics
- Natural Language Processing
- CAD Design & Testing
- Computer Vision and Speech Understanding
- Data Mining and Machine Learning Tools
- Researchers and Scientists
- Academicians and Educators
- Industry Professionals and Entrepreneurs
- Policy Makers and Government Representatives
- Environmentalists and Advocates
- Students and Young Researchers
Why Attend:
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Conference sessions
Browse the current session list for International Conference on Cloud Computing and Artificial Intelligence.
AI for Cloud Optimization
The use of AI to optimize cloud resource management, load balancing, and automation, leading to more efficient and cost-effective cloud operations.
AI-Driven Cloud Applications
Real-world applications such as AI-enhanced data analytics, smart cloud resource management, natural language processing (NLP) in cloud environments, and AI-powered cloud security solutions.
Security and Privacy in Cloud AI
Addressing the unique security challenges in AI and cloud computing, including data privacy concerns, secure model training, and preventing adversarial attacks.
Future Trends in Cloud and AI
Emerging trends in AI for cloud-based technologies, including quantum computing, AI ethics, and the potential of next-generation cloud-native AI platforms.
AI in Cloud Infrastructure
Cloud-native AI Services
Exploring cloud-native AI tools and services such as cloud-based machine learning (ML), deep learning frameworks, and AI APIs, and their role in simplifying AI model deployment and scaling.
Edge Computing and Cloud AI
The integration of edge computing with cloud platforms to enhance AI processing capabilities, particularly for real-time decision-making and IoT applications.
Distributed AI on the Cloud
Techniques and architectures for running distributed AI models on cloud infrastructures, including model parallelism, data parallelism, and federated learning.
Abstract submission is closed
This conference is archived, so new abstract submissions are no longer accepted.
Registration details
Registration windows, pricing categories, and key dates for this conference.
Archived conferences remain available for review, but new registrations are disabled.
Featured speakers
Keynote, session, and delegate speakers currently associated with this conference.
Ravi Kumar Vankayalapati
Keynote SpeakerAI Cloud Computing
Tulasi Naga Subhash Polineni
Keynote SpeakerAI Healthcare
Yuxin Qiao
Delegate SpeakerSpeaker biography will be updated soon.
Xinchao Zhao
Keynote SpeakerSpeaker biography will be updated soon.
Silvia Gaftandzhieva
Keynote SpeakerSpeaker biography will be updated soon.
Jiantao Shi
Session SpeakerSpeaker biography will be updated soon.
Diab Mahmoud Juma'a Diab
Keynote SpeakerSpeaker biography will be updated soon.
Organizing committee members
Conference leadership and organizing contacts currently available in the system.
Dimitris Drikakis
OCM
Len Gelman
OCM
Anle Mu
OCMDubai, UAE
Nearby attractions will be added soon.
International Conference on Cloud Computing and Artificial Intelligence
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