Identify and explore Artificial Intelligence (AI) use cases in the telco back office.
Gain insight into the current state of enterprise AI and deployment pain points.
Compare internal development and deployment strategies with best practice AI leaders.
Understand partner ecosystem and develop strategy.
Critical Questions Answered
What use cases can generative AI support in the back office?
Why are back-office use cases low-hanging fruits?
How should telco AI deployment strategies be improved?
What are the main challenges for telco AI adoption and how can these be overcome?
Who are the leaders in telco AI and how have they built their internal capabilities?
Research Highlights
Granular assessment for telco AI deployment.
Strategic breakdown of key telco AI leaders.
Opportunity assessment for AI deployment in the back office.
Competitive analysis of key telco AI partners.
Evaluation of telco internal deployment strategies.
Who Should Read This?
Telco executives, strategists, and technologists looking to understand and define the approach to AI in the back office.
Partnership leaders in Operations Support System (OSS)/Business Support System (BSS) vendors, hyperscalers, and AI Independent Software Vendors (ISVs).
System integrators and consultants looking to develop telco AI value proposition.
Innovation leaders looking to position emerging products to build verticalized monetization strategies.
