 services on demand will change the way we enable consumer applications and business services. Today's telecom networks are rich treasure troves of data-especially pertaining to the world of mobility. On an average day, AT&T measures 1.9 billion network-quality check points from where our wireless customers are actually using their service. This data go into network analytics to better understand the customers' true network experience. The program is internally referred to as Service Quality Management; sophisticated analytics is used to make sense of this massive volume of net- work data and discern what customers are experiencing. These technologies have transformed how we manage our network-driving smarter decisions and resolving issues quicker than ever before.5 For instance, if two areas have disrupted cell towers-restoring service to all customers quickly is a key operational objective. Based on the real-time data and historical measurements that are available, AT&T's home developed algorithm called TONA-the Tower Outage and Network Analyzer-factors in current users, typical usage for various times of the day, population and posi- tioning of nearby towers, to assess which towers can respond by off-loading the traffic from the disrupted towers. TONA has created a 59% improvement in identifying customer impact, and it shortens the duration of network events for the greatest number of customers. This is but one exam- ple of the power of using real-time data to improve network performance. This transformation is not limited to the network and its associated technologies. The transformed network also needs a software-centric workforce. Reskilling the employees in a variety of software and data specialties is as important as transforming the architecture of the network. Besides, the tra- ditional RFP approach, used today to procure new products or introduce new vendors, gets replaced by a more iterative and continuous approach for specifying and procuring software. It also calls for active involvement with the op