SUBSCRIBE NOW
IN THIS ISSUE
PIPELINE RESOURCES

Data-Driven DX Decisions
in Telecom's Digital Transformation


Digital transformation in telecom is always data driven. Data volume is skyrocketing. To navigate effectively, organizations must learn how to extract only the information that is relevant.
IoT and AI applications for data model creation: AI opens up new opportunities in the fields of robotic process automation (RPA), speech detection, machine learning, and intelligent systems. Firms are creating additional data collecting points because of the need for large amounts of data to train the algorithms in AI tools and apps.

As for the IoT, it is one of the main motives for CSPs’ focus on AI. IoT devices are becoming increasingly integrated into costly telecom infrastructures, such as data centers and towers. Through their managing and maintaining of machinery these devices save downtime and allow for enhanced customer support.

By intelligently controlling network coverage and capacity distribution, AI optimizes network traffic and improves user interactions. IoT data and AI analytics working together are fostering transformation in the telecom industry and producing better, customer-focused goods and services.

Increase employee awareness: According to PwC’s report, just 56 percent of firms provide training on new tools and procedures for their teams. The link between adoption and the use of new technology is all too easily broken. By modifying the corporate culture and raising awareness during the transition to innovative solutions, this problem may be resolved.

Staff members empowered with transformative technology can significantly increase the efficiency of company operations. Businesses will likely benefit from empowering their teams with workflow management, project management, and process automation tools and platforms. But they can only be useful if they are implemented throughout the entire organization. Team members need to become advocates for digital transformation.

Core Challenges CSPs Face in a Data-driven Approach

Processing huge data volumes: Having access to an enormous volume of information is not in itself beneficial. The difficulty of the transformation process increases with the amount and variety of data churned. Those terabytes present a challenging issue. Telecom businesses must learn to prioritize, navigate toward, and exploit only suitable information focused on their customers’ past behaviors.

Cybersecurity risks: At the same time, data must be safeguarded and its collection and use must comply with relevant privacy laws and regulations. 37 percent of users, up from 34 percent only two years ago, have broken up with businesses because of data concerns. And of course we all know that a company that deals with sensitive data will attract hackers. As a safeguard, smart businesses frequently employ cybersecurity experts who implement best practices and tactics to protect their systems against attacks.

Compliance pitfalls: Compliance responsibilities are increasingly concerning for telco CEOs. Indeed, 61 percent report that regulation risks will affect their businesses in the upcoming years. Certain markets have had controversial merger assessments recently, and the attitude of regulators regarding consolidation remains uncertain. In 2024, the base erosion and profit shifting (BEPS) 2.0 regulations will come into effect. This can be a major headache for businesses in different countries. Another source of dispute is the regulation of AI in its developing stages. Differences are already beginning to surface at the national level over how best to balance between guidelines and proposed laws.

The Bottom Line

Digital transformation in telecom is always data driven. Data volume is skyrocketing. To navigate effectively, organizations must learn how to extract only the information that is relevant to their missions. The proper understanding of customer behavior and diving into the end-to-end journey opens up the way to specially crafted solutions that target the right individuals and, as a result, raise profits.

This should be technically supported, as a strong back-end allows coordinating with other data centers to get salient information about customer patterns without asking unnecessary questions. If the proper investments are put in place at the right time, digital transformation will prove to be a gift that keeps on returning.



FEATURED SPONSOR:

Latest Updates





Subscribe to our YouTube Channel