What is the impact of latency on data quality?
An example of an AI chatbot conversation about the effects of latency on data quality.
What is the impact of latency on data quality?
Latency refers to the delay before data transfer begins following an instruction. High latency can lead to outdated or inaccurate data being processed, which negatively affects data quality.
Can you give me examples of how latency affects data in real-time applications?
Sure! In real-time applications like online gaming or financial trading, high latency can cause delays in data updates, leading to poor user experiences or financial losses.
How can organizations mitigate the effects of latency?
Organizations can reduce latency by optimizing their network infrastructure, using faster data processing technologies, and implementing edge computing solutions.
Are there specific industries that are more affected by latency?
Yes, industries like finance, healthcare, and telecommunications are particularly sensitive to latency due to their reliance on real-time data.
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