Improving invoice anomaly detection with AI and machine learning

Ray Le Maistre
By Ray Le Maistre

Mar 3, 2021

To embed our video on your website copy and paste the code below:

<iframe src="" width="970" height="546" frameborder="0" scrolling="auto" allowfullscreen></iframe>

Rohit Singhal, BSS Subject Matter Expert, Technology Leadership, Ericsson

Ericsson BSS Subject Matter Expert, Rohit Singhal explains how AI and machine learning can improve existing approaches to invoice anomaly detection. The complexity of telecom contracts, products, billing processes makes telecom invoices one of the most complex invoices generated by any industry. Most service providers have a mix of manual and/or automated processes to detect invoice anomalies. AI and machine learning is well suited to augment the humans tasked with this process

Download the eBrief here: Leverage AI for Invoice Anomaly Detection

Recorded February 2021 using TelecomTV’s Smart Studio service

Email Newsletters

Sign up to receive TelecomTV's top news and videos, plus exclusive subscriber-only content direct to your inbox.