Balancing Modernization and Sustainability
Modern telcos are continuing to invest in 5G and other technology to remain competitive, but must find a way to do so while maintaining a focus on sustainability. Using AI, operators can lay the foundation for business growth without losing sight of their environmental goals.
As telecom operators push forward with their digital transformation agendas, they face the unique challenge of balancing the need for modernization with the requirement to meet sustainability targets. This dichotomy is forcing telcos to rethink how they approach both business growth and environmental responsibility, as they focus on the dual pressures of investing in 5G and reducing their environmental impact:
- Modernization Investments: The rollout of 5G, the expansion of fiber networks and the transition to digital-first operations require significant expenditures and new skills. These investments are necessary to stay competitive and meet customer expectations in an increasingly digital world.
- Sustainability Imperatives: On the other side of the equation, telecom operators are under growing pressure to meet sustainability goals. Reducing emissions, becoming carbon-neutral and lowering water and energy usage are now key priorities. Yet, the new technology and energy requirements needed for modernization can conflict with these sustainability goals, creating a tension that is difficult to resolve.
In this context, AI emerges as a powerful tool to solve the digital transformation dichotomy, enabling telcos to achieve both their modernization and sustainability objectives simultaneously. 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.
Learn more about how AI can help transform data into intelligence and improve business performance with Netcracker AI & Data Analytics.