Edge AI and IoT Analytics
This refers to deploying artificial intelligence algorithms directly on devices (edge devices) such as sensors, cameras, or IoT devices, rather than in centralized cloud servers. This allows for real-time data processing and decision-making close to the source, reducing latency and bandwidth usage. **IoT Analytics** involves analysing data collected from Internet of Things (IoT) devices to gain insights and improve decision-making. Together, Edge AI and IoT Analytics enable faster, more efficient, and scalable solutions for applications like smart cities, industrial automation, and home automation.
Related Conference of Edge AI and IoT Analytics
April 23-24, 2025
18th International Conference on Tissue Engineering and Regenerative Medicine
Aix-en-Provence, France
May 14-15, 2025
4th International conference on Information Technology, Data Science and Digital Health
Paris, France
July 28-29, 2025
3rd World Summit on Big Data, Machine Learning and Artificial Intelligence
Vancouver, Canada
Edge AI and IoT Analytics Conference Speakers
Recommended Sessions
- Federated Learning
- AI Ethics and Responsible AI
- AI in Cybersecurity
- AI in Finance
- AI in Healthcare
- AI-Powered Personalization
- Artificial Neural Network
- AutoML and Low-Code Machine Learning
- Causal Inference
- Data Democratization
- Data Privacy and Security
- Data Science
- Data-Centric AI
- Deep Learning
- Edge AI and IoT Analytics
- Generative AI
- Graph Neural Networks
- Large-Scale Data Engineering
- Multi-Modal Learning
- Quantum Machine Learning
- Real-Time Data Streaming
- Reinforcement Learning
- Synthetic Data
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