4 weeks to TGB AI CXO Summit: meet the first speakers
Standard Chartered, Huawei, AI Singapore, Figma, Airia, FuriosaAI, the Singapore Computer Society, UNDP and Hasky Tech, on 23 November in Singapore.
Four weeks from today, 250 senior decision makers spend a day at Guoco Midtown on what it actually takes to run AI in production.
A day of how senior leaders are deciding right now: what they bought, what they built, what it cost, what broke, and what they would do differently. You leave with the numbers behind other people's decisions, and with a room of peers a quarter ahead of or behind you on the same problems.
Here is the first batch of speakers. More are being announced over the next two weeks.
From pilots to P&L: how AI has actually reached production
The reality check. Which proofs of concept made it into production, what is working, and how decision-making shifts in 2027.
Guy Sheppard, Head of AI Strategy and Adoption at Standard Chartered, Laurence Liew, Director of AI Innovation at AI Singapore, and Mckenzie Mathieson, Regional Sales Manager for Asia at Airia. A global bank, a national AI programme and a platform team, which is roughly the three angles every production story has.
Open source or closed: building AI on options, not lock-in
Levi Yangli, Director of APAC Standards and Industry Development at Huawei, on what open and closed models each cost you in practice, and what that does to the pace of enterprise AI innovation.
Build vs buy: how to architect your AI for future scale
Levi Yangli again, on the architecture decision every team reaches about eighteen months in, when the thing they built quickly has to scale slowly.
Design, build, deploy: the new product development after AI
Christopher Keightley, Head of Enterprise Business for APAC at Figma, and John Ang, Founder and CEO of Hasky Tech, on what actually changed inside product teams once AI arrived in the workflow rather than in the roadmap. A design platform and a product builder, which is the two halves of that change.
Governing shadow AI: regaining control without slowing adoption
Mckenzie Mathieson on the gap between the AI your policy covers and the AI your teams already use, and how to close it without becoming the department that says no.
Inference economics: what enterprise AI actually costs to run
Addison Chi, VP of Sales at FuriosaAI, on the compute bill: what inference costs today, where that curve is going, and what a falling cost per token opens up for real-time applications.
AI safety and governance: how can regulated industries trust AI
Raju Chellam, Editor-in-Chief of the AI Ethics and Governance Body of Knowledge at the Singapore Computer Society, and Rahul Daswani, Senior Policy Advisor on AI Governance at UNDP, on what makes AI safe enough for a regulated business to adopt, which frameworks a leader can actually pick up, and where policy sits in all of this.
Also on the day
Two keynotes, a panel on the AI-native workplace, a session on AI and the Southeast Asian workforce, the Startup Showcase, and an evening reception from 18:00. Eighteen sessions in total.
Still open: a few speaker and partner slots
A small number of speaking seats and partner slots are left, and both close well before the day. If you want to be considered for either, email Shivang directly at shivang@thegenerativebeings.com rather than going through the form.
Register
Monday 23 November, 09:00 to 20:00, Guoco Midtown, Singapore.
If you are C-suite or a senior decision maker, register to be considered.
One more thing: the AI Pulse
We are running the TGB AI Pulse Survey 2026, the first honest read on how AI is being adopted across Southeast Asia and India rather than how vendors say it is. Twenty questions, about three minutes, and it saves as you go.
Tell us how you have used AI this year. The responses go on screen at the summit, and you see the findings before anyone else.