Page 132 - SAMENA Trends - June-August 2021

ARTICLE SAMENA TRENDS

We do imagine the future where telecommunication service
providers will have lattice of data driven cloud native services
which are adapted for vertical explicit requirements. These
services will need and drive reception of Big Data Centric Networks
which are worked to help the rising systems administration needs
of associated APIs, service orchestration, cloud-driven models,
real-time correspondence, Machine Learning (ML), and Artificial
Intelligence (AI).

Business Drivers
Following use cases are some of the key business drivers to
initiate deployment and adoption of Big data and AI centered
services that will build a significant competitive advantage and
market leadership in the years to come.

1. Cloud Native 5G Deployment
5G is inherently service centric, in the sense that network is
designed keeping in mind the target service(s) beyond traditional
voice and data. Network slicing becomes core of enabling these
services for different usage and performance characteristics. • Smart city applications: In Europe, one of the IT service providers
Telcos looking to embrace 5G, should leverage Cloud and Big Data and a large telco are working together to build smarter cities.
to re-deploy their IT Architectures to build modular cloud native big Their integrated solutions portfolio enable municipalities to
data driven services that will enable dynamic network slicing based make smarter use of their services through intelligent data
on use case driven architectures. Imagine building a set of data capture and analysis. It will likewise improve the personal
driven micro-services for enabling session management, policy satisfaction for residents, who would want to expect traffic
control, chargeback modelling, mobility service management postponements and transport or train appearances when
etc. all connected as HTTP endpoints, with an additional layer of voyaging, discover public parking spaces even more effectively,
operator and partner driven application specific services that are and so on.
focused on consumer and specific enterprise needs. • Targeted Marketing: Telecom operators are also influencing
the retail industry by developing multi-channel marketing
E.g., Set of network services targeted towards consumer or retail campaigns with real-time geo-location services to target and
industry Vs set of services targeted towards enterprise needs. personalize shopping experience. E.g. network operator in the
US analyzes people that pass by a billboard at a particular time
2. Data Monetization of the day.
Data Monetization involves creating new revenue streams by • Few other examples include Fraud detection for credit card
making data available to customers and partners as packaged companies, Geotargeting and geofencing for retailers and
services. Telcos have access to demographics of customers, geo- tourism, IoT (Internet of Things) applications for a variety of
location, network use, device use, preferences, etc. When this data industries.
is processed & modelled, they generate deep insights that can be
useful for various industries and verticals and help generate new Successful data monetization approach will need to focus on the
sources of revenue for Telcos. high-value opportunities that are consistent with a company’s

Telcos have access
to demographics of
customers, geo-location,
network use, device use,
preferences, etc. When

this data is processed &
modelled, they generate
deep insights that can be
useful for various indus-
tries and verticals and help
generate new sources of
revenue for Telcos.

132 JUN-AUG 2021