Knowledge Graphs for Network Digital Twins

© 2022 Neo4j, Inc. All rights reserved.
1
Graph & Telecom:
A Natural Match of Network and
Connections

Agenda
• Welcome and housekeeping
• Topology Analysis for large Telecom Operators (Sopra Steria)
• Knowledge Graphs for Network Digital Twins (Neo4j)
• Q&A

3
Knowledge Graphs for Network
Digital Twins
Dr. J. Barrasa
Neo4j - Senior Director SA

4
The company. The graph space.

Neo4j: Helping the world make sense of their data
160M+ Downloads
230K+ Devs & Data Scientists
$390M Series F (June 2021)
Largest investment in Database history
The Most Trusted
Graph Data Platform
7 of the World’s Top 10 Retailers
3 of the Top 5 Aircraft Manufacturers
All of North America’s Top 20 Banks
7 of the Top 10 Telcos
Neo4j, Inc. All rights reserved 2021
Graph market leader; 1000s of
deployments around the globe

Neo4j, Inc. All rights reserved 2021
Graph is the fastest growing DBMS, Neo4j leading the category
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FASTEST GROWING CATEGORY
STRONGEST COMMUNITY
LinkedIn Skills
41k+
members with
230k+
Meetups
72k+
Members globally
GRAPH PLATFORMS CLOUD DBS

7
Why Graphs in Telco?

8
Common challenges
1 2
Need to capture
complexity: rich
model
Allow flexibility:
dynamic, real-time
view
3 4
Hi-perf: used in
operational
scenarios.
Requirement for
parallelism and
low latency.
Bridge SME - Data
gap: Maintainable
and humane models

9
Graph databases are much better at modeling complex environments
like networks, where many dynamic relationships exist between data
points. Modeling the network as a graph makes network planning
decisions much easier. Graph databases also help with path
calculation by providing a connectivity model
across heterogeneous vendor and data environments.
“
BP Inventory Data Sheet (*)
(*) https://www.blueplanet.com/resources/inventory-ds.html

10
Graph data structures provide enormous
advantages over relational databases overall.
Ericsson has chosen to take this approach because
of the tremendous advantage it has to service
providers
“
Graeme Jones. Strategic Product Manager (*)
(*) https://www.tmforum.org/resources/quick_insights/maximizing-network-agility-effective-resource-management/

11
A database that natively supports graphs is optimal for capturing
and implementing different operational functions.
Topology information, needed to complement event information in
correlation, is persisted as a graph and retrieved as needed in
support of correlation
The sequence of steps, commands, and associated responses
are captured as a graph
The rules engine handles the reception of events from external
OSSs and BSSs and indicates the next branch to be traversed in
the decision tree based on inputs and inferences in real time
“
HPE UCA Data Sheet (*)
(*) https://h20195.www2.hpe.com/v2/Getdocument.aspx?docname=4AA5-1098ENW
“
“
“

12
Adoption

13
Largest
Telcos
2 of the 3 world’s
largest CSP use
Neo4j in mission
critical solutions
3/5 of the leaders in the
latest Gartner MQ for
OSS embed Neo4j in
their products
2 of the Top 5 US
multichannel video
service providers have
chosen Neo4j
60% OSS
Leaders
Top
MVPD

14
Use Cases

15
Common Areas / Graph Use Cases
OSS, IoT,
Operations
BSS,
Services
Customer,
CXM,
Personalisation
Regulatory,
compliance

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A Network Digital Twin

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NDT: At the core of all business decisions
https://www.slideshare.net/neo4j/blueplanet-inventory-federation-alvaro-osle-blueplanet

• Unified Network Inventory
• Network Reconciliation
• Network and Service
Orchestration: Topology
• Service Assurance: Fault
Management
• Planning, Traffic Intelligence
• Performance and Quality
Management and Analytics
18
Network-Facing Use Cases:
Success Stories

19
What next?
https://neo4j.com/cloud

20
Thank you!

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