Confidence in artificial intelligence (AI) and its ability to enhance network operations is high, but only if the issue of bias is tackled.
AI is often described as the solution to all our (business) problems – whether it is
predicting which customers are going to churn or identifying the root cause of a
network service alarm.
Yet 60% of communications service providers (CSPs) are concerned about the
potential impact of AI bias, according to a new Heavy Reading survey.
Read the Heavy Reading paper by James Crawshaw, Senior Analyst Heavy Reading to learn about AI bias and the importance of clean, high quality, unbiased data and how to obtain it.
- Be informed about the four types of AI bias and their risks
- How AI bias will hinder network operations if left unaddressed
- What can be done to overcome the key issues of bias and lack of trust