What is the impact of AI on distributed systems?
AI significantly enhances distributed systems by improving efficiency, scalability, and fault tolerance.
Can you give examples of AI applications in distributed systems?
Sure! Examples include load balancing, predictive maintenance, and automated resource allocation.
How does AI improve fault tolerance in these systems?
AI can predict potential failures and reroute tasks, ensuring minimal disruption and maintaining system reliability.
What are the challenges of integrating AI with distributed systems?
Challenges include data privacy, model accuracy, and the complexity of managing distributed AI algorithms.
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