Real-Time Data Streaming
Real-time data streaming and analytics involve processing and analysing data as it is generated, rather than after the fact. This allows for immediate insights and actions, crucial for applications that require timely responses, such as fraud detection, live traffic monitoring, or stock trading. Technologies like Apache Kafka and Apache Flink facilitate real-time data processing by handling large volumes of data streams efficiently and providing actionable insights on the fly.
Related Conference of Real-Time Data Streaming
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
Real-Time Data Streaming 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
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- Data-Centric AI
- Deep Learning
- Edge AI and IoT Analytics
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- Multi-Modal Learning
- Quantum Machine Learning
- Real-Time Data Streaming
- Reinforcement Learning
- Synthetic Data
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