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Leverage AI for Invoice Anomaly Detection

Anomaly detection can be as difficult as finding a needle in a haystack. It could include anything from identifying an infected sample out of thousands of samples in the healthcare industry to identifying credit card fraud in financial services.

The telecom industry also has its fair share of anomalies related to intrusion or unauthorized access, roaming fraud, network incidents, and SIM duplication, to name a few. This ebrief provides insights into how artificial intelligence (AI) and machine learning (ML) can be used effectively to detect telecom invoice anomalies.

Why are telecom invoices so vulnerable to errors? Download this Ericsson eBrief today.

Download your complimentary copy.