What are the main challenges of AI in routing?
Some key challenges include data quality, real-time processing, and algorithm complexity.
How does data quality affect routing decisions?
Poor data quality can lead to inaccurate routing, causing delays and inefficiencies.
What role does real-time processing play in AI routing?
Real-time processing allows AI to adapt to changing conditions, optimizing routes dynamically.
Can you give examples of algorithms used in AI routing?
Sure! Common algorithms include Dijkstra's, A*, and genetic algorithms.
What future advancements do you foresee in AI routing?
Future advancements may include improved machine learning models and better integration with IoT data.
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