webinar

Building a real-time, cloud-native charging platform tailored for 5G

This webinar is a dual broadcast

Date: 11th November

First broadcast: 9:00 am GMT London time
Second broadcast: 12:00 pm EST New York time

Digital service providers are moving to microservices-based cloud-native architectures to help realize their OSS/BSS modernization visions. In this series, we’ll discuss real-world open source use cases and best practices from selected Red Hat and Intel partners, including tips to mitigate risk for vRAN and 5G deployments so service providers can focus on developing compelling service offerings and delivering on their network virtualization strategies. In this webinar, Jennifer Kyriakakis from MATRIXX Software will share their innovative, real-time, cloud-native rating and charging platform that is tailored for 5G networks.

Join us to learn more about:

  • Market insights on the state of cloud-native OSS and BSS solutions
  • How open source technologies can come together to ease developer concerns and encourage innovation
  • MATRIXX Digital Commerce Platform – A unique solution that seamlessly and automatically scales up and out for real-time rating and charging

Speakers:
Mark Mortensen, Principal Analyst – ACG Research
Duncan Curry, Global ISV Telecommunications Business Director – Red Hat
Jennifer Kyriakakis, Founder and Vice President of Marketing – MATRIXX Software
Herve Mer, Head of OSS/BSS for 5G – Intel

When registering, please select the broadcast time that best suits your local time zone.

Click here to attend this webinar
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Polls

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What role will consumers expect telcos to play when COVID-19 is behind us?

  • As a reliable utility similar to the role they have managed to play during the pandemic (45%, 13 Votes)
  • Rolling out new technologies and services to support new customer behaviours (28%, 8 Votes)
  • Turning special service offerings during the pandemic into standard offerings (17%, 5 Votes)
  • As a digital platform that they have struggled to change into since the pre-COVID times (10%, 3 Votes)

Total Voters: 19

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