Up until about five years ago, only low levels of AI or machine learning were being used for some fraud-detection tasks. And then a few early-adopter CSPs started to apply modern machine-learning tools to revenue assurance and fraud management with very positive results, which has encouraged more and more CSPs to adopt machine learning as part of business-assurance best practices.
But what’s next for machine learning?
- Will it become an out-of-the-box solution?
- Can machine-learning self-tuning outwit changes in fraudsters’ behavior?
- What are the myths about applying machine learning to business assurance, and what’s the reality?
- Can business assurance support 5G and all the new risks that come with it?
Watch this masterclass video from TM Forum Digital Transformation World 2020, with experts from BT, Rogers Communications, A1, and Deutsche Telekom, discussing these and other critical issues with Amdocs CVidya CTO Dr Gadi Solotorevsky.