How AI Can Help Solve the Digital Transformation Dichotomy

AI and GenAI are uniquely positioned to address both sides of the digital transformation dichotomy, helping telecom operators accelerate their modernization efforts while also driving sustainability. Here's how:

Close Automation Gaps: AI is crucial for closing automation gaps in telecom because modern networks are becoming increasingly complex, especially with the advent of 5G, network slicing and edge services. These technologies require intricate planning, design and ongoing management, making traditional automation insufficient. AI, together with GenAI, can handle this complexity by enabling more efficient network planning and design, optimizing network performance, predicting and resolving issues in real time and dynamically allocating resources to meet changing demands.

AI’s ability to process vast amounts of data and adapt in real-time makes it indispensable for managing this complexity while also ensuring sustainability by optimizing energy use and reducing waste. Without AI, the growing intricacy of networks would overwhelm existing automation systems, leaving critical inefficiencies unresolved.

Personalize Customer Experience: AI is crucial for enhancing customer experience in telecom by enabling a 360 degree customer view, which integrates data from multiple touchpoints—such as mobile usage and billing—into a comprehensive profile. This foundation allows AI to drive personalization, offering tailored services and recommendations based on individual preferences. GenAI assistants further enhance customer care and sales by handling complex queries, providing real-time solutions and recommending services, which improves response times. AI also enables proactive issue resolution by predicting potential problems, such as network disruptions or billing errors, and addressing them before they affect customers. These AI-driven capabilities ensure a more personalized, efficient and proactive customer experience, boosting satisfaction and loyalty.

Prioritize Sustainability: Sustainability is a growing priority for telecom operators, and AI can play a pivotal role in helping them meet their environmental goals. Here's how:

• Energy Efficiency: AI can monitor and optimize energy usage across telecom networks, reducing waste and lowering operational costs. For instance, AI can dynamically adjust power consumption based on network demand, ensuring that energy is used more efficiently.
• Reduced Emissions: AI can help telecom operators identify opportunities to reduce their carbon footprint. By analyzing data from across the organization, AI can pinpoint areas where emissions can be reduced, whether through more efficient use of equipment or changes in operational practices.
• Sustainable Supply Chain: AI can also improve the sustainability of telecom supply chains by optimizing logistics, reducing waste and ensuring that materials are sourced responsibly.

Enable New Business Models: Telcos are working to diversify their revenue streams beyond traditional connectivity services. AI can unlock new business models and tap into adjacent markets:

• B2B Services: AI can drive growth in the B2B sector by enabling more efficient and personalized services for business customers. For example, AI can help telecom operators offer tailored solutions for industries such as healthcare, manufacturing and smart cities.
• IoT and Edge Computing: AI can enhance the capabilities of IoT and edge computing solutions, allowing telecom companies to offer new services that go beyond connectivity. By leveraging AI, telcos can create smart solutions for industries such as transportation, energy and agriculture.

Strengthen Telecom Security: AI plays an important role in securing telco networks, services and customers by providing real-time threat detection, predictive analytics and automated response capabilities. By continuously monitoring vast amounts of data, AI can identify unusual patterns and potential cyber threats before they escalate, allowing for quicker, more effective mitigation. Additionally, AI-driven automation helps patch vulnerabilities across both legacy and modern systems, reducing human error and response times.

Integrating AI into a comprehensive security framework ensures that all layers of the telecom network – from edge to core – are protected, enabling operators to defend against increasingly sophisticated cyberattacks while minimizing operational disruptions.

Learn more about the Netcracker GenAI Telco Solution