Edge computing pushes intelligence, data processing, analytics, and communication capabilities to where the data originates: at network gateways or endpoints. The aim is to reduce latency and ensure efficient networks, operations, and service delivery, and an improved user experience. By bringing computing closer to the data source, edge computing enables latency-sensitive computing and business agility through better control and faster insights. It also lowers operating expenses, resulting in more efficient network bandwidth support. 

Private multi-access edge computing (MEC) is a private mobile network deployment with edge computing capabilities that is custom-built for enterprises. It enables an infrastructure that runs mission-critical and latency-sensitive applications by offering ultralow latency levels (less than 10 milliseconds). 

• What are the business model choices available to enterprises, and how is the deployment of dedicated computing and networking resources impacting growth?
  
• How can your team redefine your growth strategy and adopt an approach that prioritizes ultralow latency, data security, and customization, ideal for industrial automation, smart factories, and other applications demanding real-time control and stringent data privacy?
  
• Which growth avenues in private MEC can help provide superior control over data and applications along with heightened security?