1

Agenda

• What it’s AI ? Why today ?

• How AI can transform the Telecom sector ?

• Evolution of AI

IBM

AI to Transform the Telecom Sector

Dr. Ahmad El SayedChief Data ScientistCognitive Systems, IBM, Dubaiahmad.el.sayed@ibm.com

“AI is the fastest growing workload on the planet”, Forrester

190,000

shortage of people with analytical expertise

300%

Increase in AI Spend year over year

$ 320 Billions

The potential impact of AI in the Middle East by 2030

50%

Of CIOs have started or planning to deploy AI solutions

Da

ta

Time

Available

Data

Understood Data

Enterprise

Amnesia

4

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PrescriptiveBest Outcomes?

DescriptiveWhat Has Happened?

CognitiveLearn Dynamically

PredictiveWhat Could Happen?

ACTIONDATA

HUMAN INPUTS

<< >

< >

>cc

c

c

Welcome to the dawn of the Cognitive Era.

+ Large-Scale Data

+Hardware Capabilities

+ Scalable Algorithms

Compassion

Intuition

Design

Value judgments

Common sense

Deep Learning

Discovery

Large-scale math

Fact checking

Human Machine+

Questions

Rules

AnswersProgramming

Questions

Answers

RulesMachine Learning

Demystify AI / ML / DL

9

Voice Over Internet Protocol

(VoIP)

Over the Top Players

(OTT)

Mobile Number Portability

(MNP)

10

Telecom: Slowing revenue growth due to market saturation

Exploit Telecom Key Asset:

“Data”

Network

Sensor dataMaintenance dataAssets

Usage

Voice UsageData UsageMedia UsageVAS UsageRecharges

Handset

Rate plansHandsetSIM Details

Subscriber

CustomersAccountsSubscription

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Operational

Bills PaymentsOrdersTicketsBranch Queuing

Customer AcquisitionAcquire customers by targeting high value customers based on social network with off-nets numbers

Revenue MaximizationMaximize customer share of wallet up-selling and cross-selling or using NBO to send the right offer at the right time.

Customer RetentionRetain most valuable customers by predictive who’s churning, when, why, and recommend retention strategies.

Customer Lifetime ValuePredict CLV in order to prioritize actions not only based on the customer actual value segment but on his potential future value as well.

Customer Experience

Network PlanningPredict network usage to optimize capex and help shape resource allocation for the construction and maintenance of networks.

Network MonitoringIdentify network issues and inefficiencies based on usage patterns, lead metrics, traffic analyses and network parameters.

Predictive MaintenanceMove the process from scheduled preventive maintenance to triggered maintenance based on real-time data.

Visual InspectionConduct inspection on transmission towers using drones video analytics to detect defects

Network Optimization

Collection OptimizationPredict the risk of each post-paid subs to not pay his bill and take pro-active actions in the collection process.

Proactive Customer CareAnalyze network data, identify connectivity issues and assess what customer has already done to remedy issues to shorten or eliminate calls & IVR time.

Footfall AnalysisOptimize retail network by analysing consumer footfall and multi-channel Retail distribution behaviour to determine optimal format by location and network footprint

Fraud DetectionPrevent different fraud schemes including over-usage of a subs account, access illegal content, subscribe to unwanted services, etc

Operational Efficiency

The evolution of AI

© 2018 IBM Corporation 15

Narrow AIInitial

Value Creation

Broad AIDisruptive and Pervasive

General AIRevolutionary

We are here 2050 and beyond2010 and earlier 2015

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Thank you !