October 12-13, 2027
Dallas
Responsible AI in action: Operationalizing trust at scale
Chair: Stuart Dunn, Program Manager, TM Forum
Trustworthy AI & data governance: From trust to proof
- Why trust matters: Explore why autonomous AI depends on trust and why organisations must move beyond claims of responsible AI to demonstrable, verifiable proof
- The 4Ps of trust: Discover how policy, people, process and platform come together to create an operational approach to AI and data governance
- From principles to practice: Hear perspectives from Accenture, AWS and ServiceNow on how organisations can embed governance, controls, accountability and evidence into real-world AI operations
- Join the movement: Discover the new Trustworthy AI & Data Governance program and how TM Forum members can contribute use cases, standards, tools and practical solutions to make trustworthy autonomy a reality.
Kaniz Mahdi, Director Technology, AWS
Arnab Chakraborty, Chief Responsible AI Officer, Accenture
Romit Ghose, VP & GM, Telecom, Media, & Tech, ServiceNow
Guy Lupo, EVP Trustworthy AI & Data, TM Forum
Official launch: TM Forum's Trustworthy AI and Data Governance Program
Guy Lupo, EVP Trustworthy AI & Data, TM Forum
Building trust at scale
- Scale is the real test of trust - AI must remain secure, reliable, and accountable as adoption grows
- AI is entering the SOX stress test - governance, controls and compliance are becoming essential to scaling AI responsibly
- Trust is an operating discipline - with data scientists, security and business leaders working together to make trustworthy AI repeatable.
Nisha Dhalta: Client Partner, AVP TMT, Infosys
Panel: When AI decisions go wrong: who answers, who pays, who fixes it?
- Who is accountable for an AI decision?
- What decisions should AI never be allowed to make?
- Would your current governance stand up in a live incident?
Mauricio Romero, VP, AI & Analytic, Liberty Latin America
Atul Jain, Global Head of Cloud Engineering, AI and Data Protection, Verizon
Praveen Vemulapalli, Director, Data & Gen AI Architecture, AT&T
Session speakers
Mauricio Romero
VP, AI & Analytics
.JPG)
Arnab Chakraborty
Accenture Chief Responsible AI Officer & Telstra Data & AI JV CEO
Atul Jain
Global Head of Cloud, AI & Data
Romit Ghose
VP & GM, Telecom, Media, & Tech
Kaniz Mahdi
Director Technology AWS Industries
Guy Lupo
EVP Trustworthy AI & Data
Stuart Dunn
Program Manager - Trustworthy AI & Data
Praveen Vemulapalli
Director - Data & AI Architecture & Platforms
Michael Yonker
AVP AI / Data Science
Nisha Dhalta
Client Partner
Also running at this time
AN Leadership Forum - Operationalizing autonomy: Accelerating the journey to Level 4
Drill into how telcos are driving toward Level 4 autonomy with networks that self-configure, self-heal, and make decisions in real time.
Masterclass: Tackling the toughest change challenge: People
Most transformation programs don’t fail on strategy or technology — they fail because change doesn’t take hold in people, teams and leadership. This masterclass focuses on three critical questions: How do I diagnose the real barriers to change? Which interventions will genuinely drive impact? How do I measure if change is actually happening? Through an interactive, hands-on format, participants will work through real scenarios and apply practical frameworks to connect people, culture and organisation to measurable outcomes. The outcome is a clear, repeatable approach to diagnosing, prioritising, and measuring change that can be applied immediately.
Networking Break
Connect. Share. Collaborate. Take a break, grab a coffee and connect with fellow attendees, speakers and industry peers. Continue the conversation, exchange ideas and build new connections.