A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 0-9

September 5, 2018 - 10:00 am (PDT) - 1:00 pm (EDT)

Unlock the Value of Data Science: Machine Learning (hosted by SDx Central)

Anssi Tauriainen

Director - Business Development, Analytics, EXFO

Anssi brings over 20 years of experience in the telecommunication industry. Prior to joining EXFO through the acquisition of his former company, Anssi was the Founder and CEO of Aito Technologies, a leading provider of customer experience analytics for mobile network operators (MNOs). Previous experience also include multiple positions at Nokia Networks, including Head of Business Management, Project Manager, R&D Engineer and SW Engineer. He holds a Master's Degree in Computing science, mathematics and telecommunications from University of Jyväskylä and is currently conducting a PhD in research in Communication technology in Helsinki University of Technology.

What if it were possible to empower communication service providers (CSPs) to reduce operational expenses and discover new revenue sources by automating mundane operations tasks and providing insights?

By examining three unique use cases, we will see how to leverage machine learning for prototyping advanced description, diagnostics, prescriptive and predictive analytics to deliver these aspirations.

  • The first monitoring use case covers anomaly detection via ML and pattern recognition for adaptive and forecasting alerting systems. The aim is to predict KPI values based on historical values and other data.
  • The second case explores SIM Box fraud detection. This helps CSPs with AI modeling to track users of SIM Boxes who try to by-pass termination fees, an illegal activity where mobile calls are prematurely terminated and routed instead to a local network cloud to avoid fees.
  • The third use case focuses on the subscribers’ centres of interests, with the aim to understand these centres of interest via web traffic categorization. A solution can identify URLs browsed and then allocate them to more specific categories. This leads to new revenue streams (e.g., vendors working to buy the mobility profile data of a specific customer segment) and provide loyalty offers to increase net promoter scores.

During the webinar, you'll learn:

The galvanising effect of machine learning through 3 use cases

  • Use case 1: Anomaly detection via ML and pattern recognition for clever, adaptive and forecasting alerting systems
  • Use case 2: How to detect SIM Box fraud?
  • Use case 3: Best route to subscriber centres of interests via web traffic categorization

By exploring three unique use cases, we will highlight the prototyping of advanced descriptive, diagnostics, prescriptive and predictive analytics to empower CSPs.

Join SDxCentral and EXFO on September 5, 2018 at 10:00 am for Unlock the Value of Data Science: Machine Learning.

If you can't make it to the live event, register anyway. SDxCentral will let you know when the on-demand recording is available.