How AI in Database and Observability Platforms Drive Telecom Efficiency with Enteros

Introduction

The telecom sector is undergoing one of the most significant transformations in its history. With the global rollout of 5G networks, the rise of IoT ecosystems, and the explosive growth of data consumption, telecom providers face unprecedented challenges in delivering high-quality services while maintaining cost efficiency.

Behind every call, data packet, and customer interaction lies a complex web of databases powering critical functions like:

• Customer relationship management (CRM)

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  Billing and charging systems

• Network performance monitoring

• Fraud detection and security systems

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  IoT and 5G applications

Managing these databases efficiently has become a business-critical priority. Performance bottlenecks can lead to dropped calls, billing errors, network outages, and ultimately, dissatisfied customers.

This is where Enteros, a patented AIOps-powered observability and database performance management platform, comes into play. By integrating AI in database optimization with advanced observability tools, Enteros helps telecom providers detect anomalies, perform root cause analysis, and align IT operations with financial and customer experience goals.

1. Why Database Performance Matters in Telecom

In telecom, milliseconds matter. From network latency to real-time billing, performance inefficiencies can disrupt millions of customer experiences in an instant. Databases support:

• Billing and Charging Systems (BSS): Processing millions of records daily for prepaid and postpaid customers.

• Operational Support Systems (OSS): Monitoring network operations, provisioning, and fault management.

• Fraud Detection: Detecting anomalies in call patterns or data usage.

• Customer Data Management: Ensuring personalized, real-time offers and services.

• IoT Data Streams: Handling billions of events per second from connected devices.

Even minor delays can have cascading impacts:

• Incorrect bills leading to customer churn.

• Network downtime resulting in regulatory fines.

• Slower fraud detection exposing companies to financial risks.

Thus, database performance is directly tied to both operational efficiency and revenue growth in telecom.

2. Challenges in Telecom Database and IT Operations

Despite their scale and sophistication, telecom providers face ongoing IT challenges:

• Massive Data Volumes: Millions of subscribers generate terabytes of data daily.

• Complex IT Environments: Hybrid setups with on-premises, cloud, and multi-database systems.

• Rising Cloud Costs: Unoptimized workloads lead to ballooning operational expenses.

• Regulatory Demands: Telecom is highly regulated, requiring secure, compliant data operations.

• Anomaly Detection Gaps: Traditional monitoring tools often miss subtle performance anomalies.

• Root Cause Analysis Delays: Troubleshooting performance issues often takes days or weeks.

To remain competitive, telecom providers need smarter tools that blend AI-driven performance management with end-to-end observability.

3. Enteros: AI in Database Optimization for Telecom

Enteros UpBeat delivers AI-driven database optimization designed to handle the complexity and scale of telecom systems.

Key capabilities include:

• Cross-Platform Database Support: Works with relational, NoSQL, ML-driven, and telecom-specific data environments.

• AI SQL Optimization: Speeds up query performance in real-time billing, CRM, and fraud detection systems.

• Anomaly Detection: Identifies unusual spikes in database usage (e.g., network attacks, traffic surges) before they disrupt services.

• Root Cause Analysis: Uses advanced algorithms to pinpoint the exact source of performance issues.

• Predictive Scaling: Anticipates high traffic events (e.g., sports events, holidays) and ensures databases scale seamlessly.

This AI-first approach allows telecom providers to transform their databases into engines of efficiency, reliability, and innovation.

4. Observability Platforms: A Game-Changer for Telecom

Observability goes beyond traditional monitoring by providing holistic visibility into system behavior. In the telecom context, observability platforms integrated with Enteros provide:

• End-to-End Visibility: Correlating data from networks, applications, and databases in one unified view.

• Proactive Alerts: Detecting performance anomalies before they affect customers.

• Performance Baselines: Establishing normal patterns and identifying deviations across telecom services.

• Multi-Layer Correlation: Linking database issues with network faults, app latency, and customer impact.

• Faster Troubleshooting: Reducing mean time to resolution (MTTR) with contextual insights.

With observability, telecom providers don’t just react to issues—they anticipate and prevent them.

5. Cloud FinOps and Cost Accountability in Telecom

Telecom providers spend billions annually on IT and cloud infrastructure. Without careful cost management, resources can be wasted on underutilized or overprovisioned systems.

Enteros enhances Cloud FinOps practices by:

• Granular Cost Attribution: Assigning cloud database costs to network operations, billing, or customer service departments.

• Forecasting Cloud Spend: Anticipating database costs during seasonal or event-driven demand spikes.

• Rightsizing Resources: Preventing overspending by scaling resources up or down in real time.

• Multi-Cloud Optimization: Managing global telecom operations across hybrid or multi-cloud platforms.

This financial accountability ensures IT operations contribute directly to profitability and RevOps efficiency.

6. Real-World Use Cases of Enteros in Telecom

Case Study 1: Reducing Billing Latency

A large telecom operator experienced delays in billing queries, leading to inaccurate invoices for millions of customers. Enteros optimized queries and reduced billing latency by 45%, restoring customer trust and reducing churn.

Case Study 2: Detecting Network Fraud

Enteros’ anomaly detection flagged unusual database patterns in prepaid usage, helping a provider detect fraud early and save tens of millions of dollars annually.

Case Study 3: Optimizing Cloud Costs During Peak Events

During a major sporting event, a telecom company experienced surging network traffic. With Enteros’ predictive scaling and FinOps insights, they managed the spike without downtime and reduced cloud costs by 18%.

7. Strategic Benefits of Enteros for Telecom

• Enhanced Customer Experience: Faster billing, fewer outages, seamless connectivity.

• Financial Efficiency: Optimized cloud spending and financial accountability.

• Operational Excellence: Proactive anomaly detection and automated optimization.

• Scalability: Readiness for surges in IoT, 5G, and streaming traffic.

• Regulatory Confidence: Secure and auditable database operations meeting telecom compliance standards.

Conclusion

The telecom sector is built on trust, speed, and scalability. With the rise of 5G, IoT, and data-hungry applications, telecom providers must ensure their databases and IT systems operate at peak efficiency while keeping costs under control.

Enteros, by combining AI in database optimization with observability platforms and Cloud FinOps practices, enables telecom organizations to:

• Deliver seamless customer experiences.

• Reduce costs while maintaining scalability.

• Detect and resolve issues before they escalate.

• Align IT operations with measurable revenue outcomes.

In a world where milliseconds determine success, Enteros isn’t just a tool—it’s a strategic partner driving telecom innovation, efficiency, and growth.

FAQ

1. How does Enteros improve telecom database performance?
Enteros uses AI algorithms to optimize queries, detect anomalies, and automate root cause analysis in mission-critical systems like billing and CRM.

2. Can Enteros reduce telecom cloud costs?
Yes. Through Cloud FinOps features like rightsizing, forecasting, and multi-cloud optimization, Enteros helps telecom companies cut wasted spend significantly.

3. How does observability help telecom operations?
Observability provides holistic visibility across databases, networks, and applications, enabling proactive issue detection and faster troubleshooting.

4. Does Enteros support telecom-specific workloads like 5G and IoT?
Absolutely. Enteros handles massive IoT event streams and 5G-related workloads by ensuring database scalability and resilience.

5. Is Enteros compliant with telecom regulations?
Yes. Enteros supports secure, auditable database operations aligned with industry regulations to ensure compliance.