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Machine Learning use cases in Telecom~~~

Sai Devulapalli, Dir. of Data Analytics Market DevelopmentEricsson Inc.

July 21 6:30 PM to 8PM

Call: 605-475-5950Code: #

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Improving Enterprises16633 Dallas Parkway Suite 110 Addison, TX 75001, Addison, TX

Cognition in Telecom

Memory – Store results and outcomes Learning – Supervised and unsupervised Judgment – Cost functions Perception – Behavioral Signature detection Multi-modal – Social networks to Radio networks Reasoning – Decision trees and rules

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Machine Learning in Telecom

Predictions about…. Customers – Behavior, Experience, Churn Devices – Uptake, Performance, Failure Networks – Performance, Failure Campaigns – Uptake, Network Impact Services – Uptake, Performance, Failure, Network Impact

Customer Segmentation and recommendations

Machine vs. Management

Machine as tursted advisor to

Management

Data Sources and Use-cases

Mobile Device Agent Data

CDR/Billing Data

CRM Data

Network Performance Data

Social Media Data

Service Experience Data

Network Asset Data(Inventory, NFV Assets, etc.)

M2M Data Dat

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Data Sources

Cos

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used

Rev

enue

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used

Predictive Network Operations

Customer Experience Management

Proactive Care

Self Care

Single Pane of Glass

Centralized SON

M2M Analytics

Retention Analytics

Customer Segmentation/Upsell

External Data Monetization

Predictive Inventory/Logistics

Use Cases

Customer Centric Network Ops


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