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Amdocs Business Assurance: Radar Vlog
Join in this series as we break down the industry talk about business assurance, explore the technology and understand its role in mitigating revenue and business risk.
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Introducing Amdocs Business assurance vlogs, a series of brief discussions about the domain’s hottest topics, presented by industry experts. We’re focusing on the most relevant issues to the challenges you’re facing today when building and executing a business assurance strategy.
Episode 1: Let’s talk about machine learning
First up, we explain the power of machine learning and its role in business assurance for making better, more focused predictions. We also explain how the technology helps you move from just reporting to action by predicting risks before they happen.
Featuring
Dr. Gadi Solotorevsky, CTO, Amdocs Business Assurance
Hezi Zelevski, Strategy Lead, Amdocs Business Assurance
Let’s talk about machine learning
Move from reporting to action by predicting risks before they happen
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Episode 2: Machine learning & business assurance - a natural connection
In our second vlog, we look at the different business models being adopted by our customers and how they’re evolving as the new digital reality takes hold. We’ll also touch on technical and business perspectives of the ways we connect, the impact on business assurance, and how machine learning can help ease the challenges.
Featuring
Dr. Gadi Solotorevsky, CTO, Amdocs Business Assurance
Hezi Zelevski, Strategy Lead, Amdocs Business Assurance
Machine learning & business assurance
A natural connection
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Episode 3: ML & BA how does it work?
In our third vlog, we’ll look at one of the most exciting applications of machine learning models in the telco domain: their ability to make billing processes more efficient and accurate. Customers today want a real-time billing experience, with the ability to see what’s happening in their billing cycle whenever they want. The problem is, errors can creep in. That’s where machine learning and automation technologies come in. Combined with unsupervised/semi-supervised models, these technologies empower us to identify the so-called “known/unknown unknowns” in a much more accurate and effective manner before they can cause any damage.
Featuring
Dr. Gadi Solotorevsky, CTO, Amdocs Business Assurance
Hezi Zelevski, Strategy Lead, Amdocs Business Assurance
ML & BA how does it work?
Most exciting applications of machine learning models in the telco domain
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