A4. Implementing AI/ML in network services effectively requires a blend of technical resources and expertise. These include skilled data scientists proficient in AI/ML algorithms and frameworks, domain experts in network architecture, and access to substantial historical and real-time network data. Adequate computational infrastructure, including GPUs for efficient model training, is essential. Collaboration between IT teams, data engineers, and domain specialists is crucial to developing, deploying, and maintaining AI/ML models that align with network goals and consistently deliver optimized outcomes.