Digital twins (DTs), the digital representation of a physical entity, are emerging as an important tool for network modelling, simulation, and testing. The cost of hardware-based testing, especially in wireless networks, is making twins a virtual alternative to traditional testbeds. And because twins depend on the actual network data and can be fully integrated to the network, they offer a more realistic environment for hypothesis testing when compared to traditional emulation and pave the way for increased AI in network operations. The panel will review the current status of DTs in networking and highlight the challenges of DT development in a complex, dynamic and connected environment.