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Industrial AI Podcast
Timeseries Data: Deploy the model in the database
Apr 3, 2024
Dr. Julian Feinauer discusses the AINode by Timecho and ApacheIoTDB. Topics include multi-modal models in AI, industrial control systems using GPT-4, university collaboration on OPC UA models, Apache IoTDB efficiency, and deploying AI models in timeseries databases.
41:34
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Quick takeaways
- Enhanced AI systems in industrial settings now encompass multi-modal models, improving data synthesis and interaction with the environment.
- The integration of AI node with Apache IoTDB streamlines model deployment, enabling efficient processing within the database for enhanced performance.
Deep dives
Overview of AI in Industrial Environments and Multi-Modal Models
AI in industrial settings has evolved with the emergence of multi-modal models, transitioning from relying on single modal data to synthesizing information from various sources for improved understanding and interaction with the environment. This shift marks a significant advancement in AI systems across diverse applications, enhancing interpretation nuances.
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