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Data Science for Telecommunications

According to GSMA real-time intelligence data, there are over 9.32 Billion mobile connections worldwide. Telecoms sit on a treasure trove of usage data, as well as data regarding network performance and infrastructure, which can be leveraged using AI to create business insights and actions that make an impact.

From Network Optimization to SIEM: Benefits of Data Science for Telecoms

The Iguazio Data Science Platform for Telecommunications enables you to develop, deploy and manage AI applications at scale, transforming AI projects into real-world business outcomes. With Iguazio, you can build and run AI models in real time, deploy them anywhere (multi-cloud, VPC or on-prem), and bring to life your most ambitious data-driven strategies for smoother and safer communications.

Network Optimization

Network Optimization

Reduce energy, increase efficient use of resources, optimize quality control and eliminate service outages with predictive maintenance.

SIEM

SIEM

Gain deep visibility and control of Security Information and Event Management (SIEM), including log management, identity and access-control, and policy compliance tools, to ensure customers immediately detect and respond to threats.

Customer Engagement

Customer Engagement

Understand and predict customer needs and interact with them accordingly in real-time to provide personalized engagement and increase brand loyalty.

Churn Reduction

Churn Reduction

Understand and predict behaviors indicating churn intent to proactively prevent churn.

Data Science For Financial Services
Data Science For Financial Services

Telecom Case Study: Self-Healing Systems

A major telecom uses Iguazio to prevent network outages and perform auto-healing immediately. Degradation in equipment quality is detected in real-time and alternative paths are calculated, with machine learning models served against correlated fresh and historical network data. As a result, the company solves 60% of its support tickets without human intervention.

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