Opening keynotes: Trustworthy AI - Trust by design for the AI-native telco
October 6, 2026
10:00-11:30
Impact Stage
Keynote
Trustworthy AI & Data
AI (Artificial Intelligence)
Autonomous operations
Privacy & trust
Headliners/Keynotes
As AI scales across the telco, trust becomes the defining factor for success. These keynotes will explore how leaders can move from principles to proof - embedding accountability, control and transparency into AI systems that can stand up to real-world scrutiny.Welcome: Innovate Americas host
Aaron Boasman-Patel, VP Knowledge and Innovation, TM Forum
Keynote: Built to scale, faster: Americas race to 2030
- The race is on: from AI ambition to the autonomous enterprise
- America's legacy challenge and why standing still is no longer an option
- The network becomes the product: delivering the outcomes customers will pay for
- Industrialization and scale: How TM Forum is helping operators move from pilots to production at scale
- Trust as the foundation of AI-native growth
- Winning together: building America's autonomous future, faster
Keynote: Scaling AI from experimentation to enterprise capability
- What telecom leaders must rethink first
- What breaks first when AI moves into production.
- Where leadership, not technology teams, must now take ownership
- The trade-offs between speed, innovation and risk
- What telecom leaders are getting wrong about scaling AI safely
Keynote: From autonomous networks to autonomous worlds: Why physical AI needs an AI-native network
- How T-Mobile is using AI to make the network more adaptive, automated and customer-aware
- Why customer experience is the ultimate measure of network AI: Improving reliability, performance, personalization and recovery in real time
- What Physical AI: robots, vision AI, autonomous systems and industrial AI: will demand from networks beyond cloud compute
- The network’s role as a real-time control fabric for sensing, context, mobility, latency, uplink and edge intelligence
- How 5G Advanced lays the foundation for better experiences today, as well as future Physical AI and 6G capabilities
Keynote: Generating AI ROI by innovating with trust
- Overcoming the trust gap to realize the ROI on AI
- Why responsible AI is actually an engineering function combined with ethical principles
- The difference between being trustworthy and being trusted - and why they’re both crucial to successful AI adoption and ROI
- How data and AI literacy is a key component in long-term success
- Designing data and AI initiatives that stand up to regulatory, board-level, and public scrutiny
Keynote: What does it actually take to become an AI-native operator?
- What changes first when AI moves beyond experimentation?
- How do operators redesign operating models around AI?
- Who owns AI across the enterprise?
- How do you build trust into AI from day one?
- Where should human accountability remain?
- How do you balance innovation with governance?
- What separates AI leaders from everyone else?
Closing remarks
Aaron Boasman-Patel, VP Knowledge & Innovation, TM Forum










