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Telecom Network Optimization Leverage AI to improve your Network Performance by optimIzing the network Overview Industry challenges Quantiphi’s Network Optimization Capabilities Network optimization improves network performance and reduces network strain to minimize costs and increase network usability and resiliency. Within telecoms, network optimization is based not only on hardware stack and system architecture but also on the ever-changing consumption patterns and network bandwidth pulled by subscribers. Striking a balance between network performance strategy and the customer experience is critical to success. Telecommunications service providers aim to provide seamless network connectivity to their customers. Customers (both consumers and enterprises) expect the highest standard in services like uninterrupted calls, stable internet connection, coverage wherever they operate from. While providing these services, Telcos always face the challenge of handover failures, inconsistent network coverage, network latency which in turn degrades the customer experience. On the other hand, Telcos also face issues like inefficient network utilization and KPI degradation. Network Optimization enables the CSPs to understand their end-users app experience by correlating Network KPIs and Service KPIs, identifying subpar performance in the network, and optimizing where it matters for the end-users app experience. Network Performance Optimization Real-time analysis and design fed directly back into orchestration, activation, or provisioning systems for complete, closed-loop automation. Predictive optimization Incorporating sophisticated modeling and analytics to make accurate and timely decisions Dynamic optimization

Telecom Network Leverage AI to improve your Optimization

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Page 1: Telecom Network Leverage AI to improve your Optimization

Telecom Network

Optimization

Leverage AI to improve your

Network Performance by optimIzing

the network

Overview

Industry challenges

Quantiphi’s Network Optimization Capabilities

Network optimization improves network performance

and reduces network strain to minimize costs and

increase network usability and resiliency. Within

telecoms, network optimization is based not only on

hardware stack and system architecture but also on

the ever-changing consumption patterns and network

bandwidth pulled by subscribers. Striking a balance

between network performance strategy and the

customer experience is critical to success.

Telecommunications service providers aim to provide seamless network connectivity to their customers. Customers

(both consumers and enterprises) expect the highest standard in services like uninterrupted calls, stable internet

connection, coverage wherever they operate from. While providing these services, Telcos always face the challenge of

handover failures, inconsistent network coverage, network latency which in turn degrades the customer experience.

On the other hand, Telcos also face issues like inefficient network utilization and KPI degradation.

Network Optimization enables the CSPs to understand their end-users app experience by correlating Network KPIs

and Service KPIs, identifying subpar performance in the network, and optimizing where it matters for the end-users

app experience.

Network Performance Optimization

Real-time analysis and

design fed directly back

into orchestration, activation,

or provisioning systems for

complete, closed-loop

automation.

Predictive optimization

Incorporating sophisticated

modeling and analytics to

make accurate and timely

decisions

Dynamic optimization

Page 2: Telecom Network Leverage AI to improve your Optimization

Boston | Princeton | San Jose | Toronto | Mumbai | Bangalore | London

Follow us on :

www.quantiphi.com | [email protected]

Boston | Princeton | San Jose | Toronto | Mumbai | Bangalore | London

Follow us on :

[email protected]

Our Approach

Quantiphi enables Telcos to make their networks Self Optimized. A self-organizing network (SON) is an automation

technology designed to make the planning, configuration, management, optimization, and healing of mobile radio

access networks simpler and faster.

Quantiphi assists in building SONs through AI-enabled closed Loop Optimization.

AI-Enabled Closed Loop Optimization

DATA PROCESSING DIAGNOSTICS OPTIMIZATION

Extract-Transform-Load Recommendation & ActionsIdentification & classification

RCA & Insights

Key Avenues Business Impacts

Dynamic Asset Allocation

KPI Benchmarking

Automatic neighbor relation

management

Automated antenna

configuration

20-30%

~30%

>25%

>20% Improved Network Agility

Improved Toubleshooting

Increased vibility across network

Increased end-to-end performance

monitoring

Quantiphi is an award-winning AI-first digital transformation engineering company driven by the desire to

solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business

problems by combining deep industry experience, disciplined cloud and data engineering practices, and

cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

We are passionate about our customers and obsessed with problem-solving to make products smarter,

customer experiences frictionless, processes autonomous and businesses safer by detecting risks, threats and

anomalies. For more on Quantiphi’s capabilities, visit www.quantiphi.com

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