Vienna: In the era of digital transformation, telecommunications are no longer just a means of connecting people-they are evolving into a complex ecosystem of data and services. Today, the speed, quality, and personalization of services directly depend on how effectively operators can collect, analyze, and leverage network and customer information. Artificial intelligence (AI) and big data analytics are no longer a luxury but a necessity, opening new opportunities to improve customer service, reduce costs, and create innovative products. For Azerbaijan, this is particularly relevant: the telecom market here is not yet burdened with outdated systems, which creates favorable conditions for implementing modern AI solutions and digital transformation. This allows for rapid improvement in service quality and the ability to offer customers new, personalized products. The Azerbaijan State News Agency (AZERTAC) presents an interview with Stanislav Streltsov, a recognized expert in data and AI, specializing in strateg y and digital transformation.
According to Azerbaijan State News Agency, Stanislav Streltsov highlighted several key trends in data management and AI that are particularly applicable to Azerbaijan's telecom industry. Predictive network maintenance emerged as a significant trend, where AI is employed to monitor network equipment continuously, forecasting potential failures before they occur. This proactive approach helps in reducing unexpected disruptions and costs, improving overall service quality.
Customer churn prediction is another crucial trend identified by Streltsov. By analyzing user behavior, telecom operators can identify customers at high risk of leaving, allowing companies to proactively engage them with personalized solutions or incentives. Automation of customer service through chatbots and AI assistants is also gaining momentum, providing faster responses to routine inquiries and reducing call center workloads.
Streltsov emphasized the advantages AI offers to telecom operators and their customers. For operators, AI facilitates cost reduction through automation and enhances network efficiency by improving problem detection and resolution. It also aids in predicting user behavior to deliver personalized offers, reducing churn. Customers benefit from faster issue resolution and more relevant service plans, while predictive maintenance minimizes service interruptions.
In terms of enhancing service quality and creating new products, Streltsov noted that telecom operators can leverage data to identify areas with weak coverage and recurring issues, guiding infrastructure investments. For new product development, opportunities exist in the B2B segment, such as IoT connectivity and location analytics, which align with core telecom business areas.
To build effective data management infrastructure and develop AI, companies must first establish a data governance system, followed by creating centralized data infrastructure. Computing infrastructure decisions, skilled personnel development, and starting with small, high-value projects are also crucial steps in this process.
Data security and privacy are critical priorities, requiring strict access control, data encryption, and minimization. Regular security audits are essential, with a focus on balancing security and operational efficiency.
For Azerbaijan, promising AI initiatives include network optimization, predictive maintenance, and customer service automation. Fraud detection also presents clear business benefits. However, caution is advised with complex new business models or research projects lacking clear commercial applications.
Globally, trends such as foundation models, edge computing, and increased regulatory oversight are shaping the AI landscape. Azerbaijan should prepare by investing in infrastructure, establishing cloud partnerships, developing education programs, and maintaining a balanced regulatory environment.
Streltsov concluded that successful AI implementation relies on careful execution of proven solutions that deliver clear business value, rather than chasing every new technology trend.