AI in Telecommunications

AI in the Telecom Industry

We help telecommunications companies effectively deploy Data and AI to improve products and services, optimize processes, and identify new business models.

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Trusted by Industry LEaders
Your Experts for AI in Telecommunications

We support telecom companies in the application of data science and AI

Companies in the telecommunications sector have been successfully using data and statistical algorithms for many years to optimize their products and services. Exciting and new for all telecommunications companies are methods from the field of data science, machine learning, and AI, which often offer a significant improvement in predictive accuracy compared to statistical approaches.

These technologies are very well suited for optimally managing network loads, identifying network anomalies, and detecting fraudulent activities early. In marketing, customers can be segmented and users likely to churn can be identified. Additionally, data science and AI enable the optimization of pricing, the creation of personalized product recommendations and advertising measures, as well as the automation of customer service.

Our AI consultants have already implemented numerous projects for telecommunications companies and can also support you in developing and implementing data science, machine learning, and AI projects in your company. Schedule a consultation to analyze your options and benefit from our experience in over 500 projects. We look forward to collaborating with you!

Applications of AI in the telecommunications industry

Customer Churn

Identify customers likely to churn to initiate timely appropriate countermeasures.

Chatbots

Utilize modern chatbots and digital assistants to enhance your customer service.

Product Recommendations

Help your customers find what they are looking for through personalized product recommendations.

Predictive Maintenance

Identify defects or maintenance needs in machines and network components early.

Anomaly Detection

Automatically detect patterns and anomalies in your network data and respond accordingly.

Fraud Detection

Recognize and prevent fraudulent activities early with the help of data science and AI.

Demand Forecasting

Model the expected network load using machine learning models and plan capacities.

Quality Control

Analyze your quality data to uncover correlations and derive actions.

Request a project now with no obligation
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours

Our strength

statworx is one of the leading consulting and development companies for data & AI in the German-speaking region.

We focus intensively on the interfaces between people, economy, society, environment, and AI technology.

Sebastian Heinz
Founder and CEO statworx

Our spotlight topics at a glance:

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Tools, Partner & Technology
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
10+

years of experience in Data Science, ML, and AI

100+

clients from 10 industries and growing

85+

experts from more than 17 fields of study

1,000+

successfully implemented Data and AI projects

Implemented AI projects in the telecommunications industry

  • Telecom
  • Fraud Detection

Identification of Bot Calls

In this project, we developed a machine learning model for our client to identify automated bot calls used to detect telecommunications routes to Europe.

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Identification of Bot Calls
Case study
  • Telecom
  • Training

Data Science Workshop Telecommunications

In this project, we planned and conducted a three-day data science workshop for an international client in the telecommunications sector.

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Data Science Workshop Telecommunications
Case study
  • Telecom
  • Anomaly Detection

Anomaly Detection in VoIP Networks

In this project, we developed a fully automated near-time detection of anomalies in VoIP time series data.

More
Anomaly Detection in VoIP Networks
Case study

Our services

AI Consulting

Our consulting services focus on both technical and methodological skills, data literacy, and data culture, utilizing interactive and inspiring learning methods. We provide training for beginners, specialists, and executives.

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AI Starter Offerings

Are you just beginning your data and AI journey? We offer various workshops, training sessions, and ready-to-use AI solutions that are perfect for taking the first steps with data science and AI.

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AI Solutions

We develop data science and AI solutions tailored to your require­ments. We support you from the initial idea to the productive solution and ensure smooth operation thereafter.

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AI Trainings

Whether technical or methodological skills, data literacy, or data culture - our formats rely on interactive and inspiring learning methods. We train beginners, specialists, and executives.

Learn more

Your experts for AI in Telecommunications

01
Free consultation

Discuss your challenges and goals in the area of Data & AI with us.

02
Tailored offer

Receive a customized and transparent offer.

03
Presentation & contract award

We present our approach to all relevant stakeholders.

04
Onboarding with project team

Our dedicated project team takes care of your needs.

Create value from Data & AI
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours
Marcel Plaschke
Marcel Plaschke
Head of Strategy, Sales & Marketing
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Frequently asked questions and answers

How can AI improve customer retention in the telecommunications industry?

AI enables the identification of customers likely to churn, allowing telecommunications companies to take timely actions to strengthen customer retention. Personalized product recommendations and automated customer services through chatbots also contribute to a better customer experience.

What role does predictive maintenance play in telecommunications?

Predictive maintenance helps in early detection of defects or maintenance needs in machines and network components. This reduces downtime and ensures a smooth network infrastructure.

How does AI support anomaly detection in telecommunications networks?

AI systems can automatically recognize patterns and anomalies in network data, enabling companies to respond quickly to irregularities and increase network security.

How can AI improve fraud detection in the telecommunications industry?

With data science and AI, fraudulent activities can be detected and prevented early. This protects the network and customers from potential security threats.

Marcel Plaschke
More questions?
Marcel Plaschke
Head of Strategy, Sales & Marketing