In a recent discussion, Alper and Benli highlighted the challenges and opportunities in achieving AI-native transformation in the telecom industry. Alper pointed out the complexity of telecom networks, which often consist of a mix of legacy systems and new technologies. Data privacy and security concerns also need to be carefully managed as AI enables the processing of vast amounts of network data.
To address these challenges, Alper emphasizes the importance of executive alignment, cross-functional collaboration, and continuous stakeholder engagement. Modernizing IT systems, decommissioning outdated technologies, and investing in advanced monitoring tools are crucial steps in streamlining operations.
Benli adds that change management and re-engineering organizational processes are equally important aspects of successful transformation. Restructuring teams, roles, and responsibilities to align with new AI capabilities is essential for a holistic approach to transformation in the industry.
Overall, the speakers stress the importance of overcoming technical challenges while also focusing on the people aspect of transformation. By embracing change, modernizing systems, and re-aligning organizational processes, telecom companies can successfully embrace AI-native transformation and thrive in an increasingly digital world.
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