AN + AI: will it be different this time? Communication service providers (CSPs) everywhere are under immense pressure to do more and better with fewer resources. That means to reduce network operational costs while improving the quality of services and introducing new ones to gain additional revenues.
Several years of analytics AI deployments and network automation efforts have failed to slash operational budgets or create much in the way of new revenues. Likewise, despite years of effort and expense, excellent customer experience is still the goal – telecoms still has one of the worst Net Promoter Scores of any industry.
This report rounds up current and emerging opportunities offered by combining various kinds of AI with network automation.
Chapter 1 looks at how telcos can leverage AI to do what they do but much better, with success stories from Airtel, Telefónica and Comcast.
Chapter 2 looks at the importance of network automation and what it can deliver in harness with AI, with examples and case studies including Colt, Virgin Media O2, Orange Business, Verizon, Deutsche Telekom and Google Cloud.
Chapter 3 examines progress with new services and looks to the future with examples and case studies from China Telecom, Fastweb, Swisscom, Telenor, Vodafone, Singtel and SK Telecom.
Our Conclusion consists of 10 recommendations for telcos revving up to profit from AI and network automation, now and in future.
 everywhere are under immense pressure to do more and better with fewer resources. That means to reduce network operational costs while improving the quality of services and introducing new ones to gain additional revenues. ){kind=link}