Building platforms, ecosystems and APIs that create value

Sessions in rooms

Case study: Building AI-ready connectivity platforms that support secure, scalable enterprise AI services

• Using AI and automation to simplify service fulfilment and improve the customer experience
• Delivering AI workloads through secure, high-performance network infrastructure with enterprise-grade governance
• Enabling digital transformation through Network-as-a-Service and intelligent connectivity platforms

Divesh Gupta, Vice President - Professional Services & Technology, PCCW Global

Fireside chat: From autonomy to revenue - monetizing AI-enabled telecom networks

• Which autonomous network capabilities have a clear customer willing to pay: assured performance, security, identity or something else?
• What role should TM Forum Open APIs play? 
• How can CSPs use them across product creation, ordering, assurance and billing to turn a network capability into a repeatable commercial service?
• How should AI work with policy and charging? 
• Could AI recommend a service level or price in real time, and what controls must be in place before the network grants it and the customer is charged?
• What should partners be able to access through network APIs? 
• How do CSPs expose useful capabilities through common APIs while maintaining consent, security and predictable service quality?
• Beyond API calls, which measures would demonstrate value: paying customers, partner adoption, revenue per use case, service outcomes or cost to deliver?

Brijesh Yadav, Vice President, Rakuten Mobile
Sandeep Nagpaul, Head of Sales Consulting, Japan and APAC, Oracle Communications