What are the main challenges in AI infrastructure?
The main challenges include data management, computational resources, scalability, and integration with existing systems.
How does data management impact AI performance?
Data management affects AI performance by ensuring data quality, accessibility, and relevance, which are crucial for training models.
What role does scalability play in AI infrastructure?
Scalability is vital as it allows AI systems to handle increasing amounts of data and user requests without performance degradation.
Can you explain the integration challenges with existing systems?
Integration challenges arise from compatibility issues, legacy systems, and the need for seamless data flow between AI and traditional systems.
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