AI Master Class for Fraud Management: 2-Part Series - A Telecom AI company enabling Connected Experiences

AI Master Class for Fraud Management

Part 2 – Leveraging AI/ML for Fraud Detection

How do AI/ML models work for different fraud types?
Importance of data & continuous learning for enhancing the accuracy and efficiency of ML models
Live demo of how telcos can build and deploy a ML model on their fraud management system

Part 1 – Introduction to AI/ML for Fraud Management

What is AI for Fraud?
Why should telcos leverage AI/ML for fraud detection?
How AI/ML can help in tackling fraud?
Supervised and Unsupervised models
Use cases: Bypass, IRSF, Handset, Scam/Spam calls, Online Fraud

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Speakers

Nithin Gangadharan

Product Head
Fraud Management

Nithin has more than 10 Years of experience in Fraud Management. He started his career as an Implementation Consultant with Subex Ltd and has been part of many Fraud Management implementations across APAC & Middle East. He has also been a Subject Matter expert & Business Solution Consultant earlier. Nithin is currently working as Product Line Manager for Fraud Management and machine learning developments at Subex.

Niranjan G S

Associate Manager – AI Labs

Niranjan has more than 3 years of experience building AI solutions for FMS. He started his career in Subex Ltd after completing his Master’s Degree in Machine Learning and Computing from the Indian Institute of Space Science and Technology. He has worked extensively on developing AI based solutions including Bypass Fraud, IRSF and Anomaly Detection.