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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, [email protected]
“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
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PrescriptiveBest Outcomes?
DescriptiveWhat Has Happened?
CognitiveLearn Dynamically
PredictiveWhat Could Happen?
ACTIONDATA
HUMAN INPUTS
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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+
Voice Over Internet Protocol
(VoIP)
Over the Top Players
(OTT)
Mobile Number Portability
(MNP)
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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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