Bringing AI Capabilities to the Communication Network
Net2Vec: AI for the Network
NEC brings Artificial Intelligence (AI) to the Communication Networks
using novel Deep Learning algorithms that allow the efficient analysis of
users data in real time.
Solving existing problems
 Typical network operator objectives.
Communications service providers (CSP)
today are increasingly looked at as data
pipes, where revenues are channeled overthe-top (OTT) players, and ARPU fails to
grow as expected. NEC provides, secure,
real-time, scalable analysis of streaming
data at 10 Gbps using patented machine
learning technology that addresses critical
CSP challenges for increasing revenues
(even when HTTPS is used, cookies are
blocked, or when experiencing just mobile
application
traffic).
NEC's
analytics
contribute to the growth of CSP revenue
through
use
cases
that
include
monetization via advertisements, customer
retention management, game changing
plans, and customer threat protection.
Manage
customer
retention
Protect
customers
from
threats
Gamechanging
tariff plan
Monetize
network
data via
ads
 Be proactive.
Net2Vec is able to identify when an user is
thinking in moving to a different network
company. It allows a proactive customer
retention managing.
 Using existing data.
Net2Vec technology can use as input the
data coming from existing sources:
• Equipment logs.
• Measurement proves.
 Protect your users.
The identification of potential risks allows
the operator to protect the users. Both,
users infected by malware and users with a
dangerous behavior can be identified.
• User data.
• DPI equipment.
 Ready for the future.
The system is ready for the growing
percentage of HTTPS traffic. Moreover, it
also analyses the request coming from
mobile Apps, giving the operator a great
advantage over other players.
 Know your users needs.
The user profiling identifies special needs
allowing the operator to offer different tariff
plans.
 Monetize your data.
Participate in the Online Advertising Market
with a great knowledge of the user
interests.
Net2Vec: AI for the Network
Net2Vec uses revolutionary deep learning technologies to analyze data in
an efficient manner.
Highly efficient implementation
 Evaluated on real-time HTTP(S)
traffic.
The efficient implementation of Net2Vec allows
the real-time analysis of both HTTP and HTTPS
traffic.
 Novel Deep Learning algorithms
Net2Vec is build over novel patented deep
learning
technologies
that
generate
generalized models of the network data.
It also takes into account the requests done by
mobile Apps.
 Scalable.
Net2Vec architecture is highly parallelizable. It
allows to analyze about 2Gbps of traffic per GPU
and 150Mbps per CPU core.
 Efficient profile generation
The privacy preserving model can be
queried to extract meaningful profiles in a
really efficient way. It allows thousand of
queries per second.
Online advertising ecosystem.
 Online Advertising Market.
The
online
advertising
market
is
monopolized
by
over-the-top
service
providers.
They use their partial knowledge of the user
to serve tailored ads based on the users’
interests.
The Online Advertising Market profit was
bigger about $60billions with a 17% CAGR.
 Build Accurate Profiles.
Communication Service Providers are in a
privileged position to build user profiles
more accurate and comprehensive than the
traditional players:
•
Using mobile APP information
•
Not affected by Ad and Cookie Blockers.
NEC (NEC Laboratories Europe)
Kurfürsten-Anlage 36, 69115 Heidelberg (Germany)
URL: http://uk.nec.com/en_GB/emea/about/neclab_eu/
E-mail: [email protected]
 Become a Data Management Platform.
Data Management Platforms sell the
information they have to third parties
interested in showing accurate ads to the
users.
Network operators can build comprehensive
user profiles in a more accurate way than
others.
 Become an Ad Network
Networks operators have the infrastructure
and position to become local advertising
networks that can compete with the global
networks.